Abstract: An authentication system accesses an image of a face of a user. The face of the user is partially covered by a facial mask. The authentication system detects an area on the facial mask and generates a first identification of the user based on the area on the facial mask. The authentication system also detects an exposed area uncovered by the facial mask on the face of the user and generates a second identification of the user based on the exposed area. The authentication system compares the first identification of the user with the second identification of the user, and authenticates the user based on the comparison.

Abstract: A fingerprint image processing device includes a memory, and a processor coupled to the memory. The processor performs operations. The operations include reading a tenprint card image which includes a plurality of fingerprint patterns and at least one ruled line to separate one fingerprint imprint area from another fingerprint imprint area, and extracting from the tenprint card image a fingerprint image which includes at least one of the fingerprint patterns, a part of a fingerprint imprint area, and a part of a next fingerprint imprint area.

Abstract: An online system matches a user across multiple online systems based on image data for the user (e.g., profile photo) regardless whether the image data is from the online system, a different but related online system or a third party system. For example, to match the user across a social networking system and INSTAGRAM™ system, the online system compares the similarity between images of the user from both systems in addition to similarity of textual information in the user profiles on both systems. The similarity of image data and the similarity of textual information associated with the user are used by the online system as indicators of matched user accounts belonging to the same user across both systems. The online system applies models trained using deep learning techniques to match a user across multiple online systems based on the image data and textual information associated with the user.

Abstract: A computer-implemented method, a computer system, and a computer program product for managing relationships between persons and physical objects based on identifiers. A computer system configures a user device to be capable of interacting with each of a first database and a second database. The computer system verifies, by interacting with the second database, that a given object of the physical objects is a genuine object, based on a given object identifier of the given object and a digital fingerprint detected from a physical fingerprint of the given object. The computer system requests, via the first database, a transfer of a given relationship from a first person to a second person with respect to the given object, based on the given object identifier and a person identifier of the second person.

Abstract: An electronic device performs techniques related generally to implementing biometric authentication. In some examples, a device provides user interfaces for a biometric enrollment process tutorial. In some examples, a device provides user interfaces for aligning a biometric feature for enrollment. In some examples, a device provides user interfaces for enrolling a biometric feature. In some examples, a device provides user interfaces for providing hints during a biometric enrollment process. In some examples, a device provides user interfaces for application-based biometric authentication. In some examples, a device provides user interfaces for autofilling biometrically secured fields. In some examples, a device provides user interfaces for unlocking a device using biometric authentication. In some examples, a device provides user interfaces for retrying biometric authentication. In some examples, a device provides user interfaces for managing transfers using biometric authentication.

Abstract: The feature extraction device according to one aspect of the present disclosure comprises: a reliability determination unit that determines a degree of reliability with respect to a second region, which is a region that has been extracted as a foreground region of an image and is within a first region that has been extracted from the image as a partial region containing a recognition subject, said degree of reliability indicating the likelihood of being the recognition subject; a feature determination unit that, on the basis of the degree of reliability, uses a first feature which is a feature extracted from the first region and a second feature which is a feature extracted from the second region to determine a feature of the recognition subject; and an output unit that outputs information indicating the determined feature of the recognition subject.

Abstract: A method includes authenticating, by a computing device, a first connection between one or more storage units and at least one of the computing device and a first user computing device. The method further includes determining, by the computing device, to add a second connection between the one or more storage units and at least one of the computing device and a second user computing device. The method further includes generating, by the computing device, a secret code and sending the secret code to the one or more storage units via the first connection. The method further includes sending, by the one or more storage units, responses to the secret code to the computing device via the second connection. The method further includes authenticating, by the computing device, the second connection based on the authentication of the first connection and the responses from the one or more storage units.

Abstract: A bio-sensor device, integrated with a display portion, includes a surface for touching by a body part, such as a finger. A light source, such as an array of LEDs, emit light through the surface so as to be reflected and partially absorbed by the body part An array of photodetectors detects light reflected back by the body part and generates signals corresponding to an image of the light reflection, which corresponds to the light absorption pattern in the body part. The light absorption pattern may correlate to a fingerprint, a blood vessel pattern, blood movement within the blood vessels, combinations thereof, or other biometric feature. A processor receives the signals from the photodetectors and analyzes the signals to determine a characteristic of the body part. The characteristic may be used to authenticate the user of the bio-sensor device by comparing the detected characteristic to a stored characteristic.

Abstract: A method and apparatus for creating a composite image of a person is provided herein. During operation, a witness is presented with a plurality of attributes of an individual. A witness selection of an attribute is received from the presented attributes. Images of individuals who were at an incident scene at a time of the incident are received and analyzed to determine images of those individuals with attributes similar to the attribute selected by the witness. The images of those individuals with the attributes similar to the attribute selected by the witness are processed by redacting information from the images to produce a plurality of processed images. The witness is then presented with the plurality of processed images.

Abstract: A control arrangement (20) for an entrance system (10) having one or more movable door members (D1 . . . Dm) and an automatic door operator (30) for causing movements of the one or more movable door members (D1 . . . Dm) between closed and open positions is provided. The control arrangement (20) comprising a controller (32) configured to control operation of the automatic door operator (30) in a selected operating mode among a plurality of operating modes. The control arrangement (20) is characterized in that it comprises communication means (58), and the controller (32) is configured to communicate via the communication means (58) with an external computing resource (110) to set the selected operating mode.

Abstract: Face authentication can easily be performed based on an input image including a mirror region reflected by a mirror without increasing a storage capacity of a database. With the database, for each face of a person to be authenticated, only one real front image is to be registered as a reference face image. A mirror image processing circuitry detects the mirror region from the input image and to subject a detected mirror region to lateral inversion processing to produce a processed image. A face detection processing circuitry detects a face image from the processed image to generate a detected face image. A face authentication processing circuitry compares the detected face image with the reference face image, to thereby perform face authentication.

Abstract: The present disclosure can provide a person re-identification apparatus and method that includes an identity feature extraction part configured to receive a multiple number of images each including a person requiring re-identification, extract features related to an identity of a person included in each image according to a pattern estimation method learned beforehand, and obtain an identity-related feature vector for each image; and a re-identification determination part configured to analyze a degree of similarity between an identity-related feature vector obtained for a base image including a search target from among the plurality of images and an identity-related feature vector obtained for another image to determine whether or not a person corresponding to the search target is included in the other image.

Abstract: A light-beam emitter and a display device are provided. The light-beam emitter includes a main body, and a light-emitting assembly, a projection button, an operation button, and a control assembly disposed on the main body; wherein the control assembly is connected to the projection button, the operation button, and the light-emitting assembly, the control assembly is configured to control the light-emitting assembly to emit a projection beam when the projection button is pressed, and the control assembly is configured to control the light-beam emitter to perform a corresponding operation when the operation button is pressed.

Abstract: Systems and methods of identifying unknown video content are described. An example method may include receiving a first fingerprint and a second fingerprint. The first fingerprint may be a color-based fingerprint derived from colors in a portion of the unknown video content, and the second fingerprint may be at least partially based on a feature other than the colors of the unknown video content. A reference database of reference fingerprints may then be queried using one of the first fingerprint or the second fingerprint to obtain a candidate group of fingerprints. The candidate group of fingerprints may then be queried using the other of the first fingerprint and the second fingerprint to identify at least one query fingerprint. The unknown video content may then be identified using the at least one query fingerprint.

Abstract: Systems and processes for improved processing of biometric data may include a hash controller including a processor, a server, and a registry. The hash controller can receive biometric information, such as a biometric scan, and apply an EGH transformation to convert the biometric information into an irreversible, unlinkable, and revocable EgHash. The EGH transformation can include blending biometric information with non-biometric information and permuting the biometric representation for additional security. The permuted biometric representation can be projected based on a randomly generated matrix and the output permuted to obtain an EgHash. The resultant EgHash can be lossy such that the EGH transform causes an irreversible loss of biometric information between the original biometric information and the EgHash. The EgHash can be compared and retrieved at speed and scale by the processor to support operations including, but not limited to, verification, identification, and database deduplication.

Abstract: Disclosed herein are system, method, and computer program product embodiments for identifying and monitoring social media accounts belonging to offenders, inmates, and relevant third parties. In an embodiment, a social media monitoring system retrieves information from a criminal history database to identify and verify social media account information. In an embodiment, a social media monitoring system retrieves information from an offender communication device, such as a computer, phone, or tablet, to identify and verify social media account information. The social media monitoring system analyzes this information, retrieves social media accounts, and generates a confidence score and/or relevance score for each retrieved social media account. Social media monitoring system organizes links to the social media accounts based on the scores and also generates alerts when a security threat associated with the social media accounts is detected.

Abstract: A method of collecting biological material with the help of a mobile terminal, the method including the following steps: acquiring a first image and extracting a first candidate biometric dataset therefrom; comparing the candidate biometric dataset with reference biometric datasets and determining similarity scores; comparing the similarity scores with a first predetermined threshold; and when none of the similarity scores is greater than the first predetermined threshold, proceeding to collect biological material from the first dermatoglyph.

Abstract: Techniques are described herein for dialog-based enrollment of individual users for single- and/or multi-modal recognition by an automated assistant, as well as determining how to respond to a particular user's request based on the particular user being enrolled and/or recognized. Rather than requiring operation of a graphical user interface for individual enrollment, dialog-based enrollment enables users to enroll themselves (or others) by way of a human-to-computer dialog with the automated assistant.

Abstract: Techniques are described herein for dialog-based enrollment of individual users for single- and/or multi-modal recognition by an automated assistant, as well as determining how to respond to a particular user's request based on the particular user being enrolled and/or recognized. Rather than requiring operation of a graphical user interface for individual enrollment, dialog-based enrollment enables users to enroll themselves (or others) by way of a human-to-computer dialog with the automated assistant.

Abstract: Various embodiments are directed to performing identity verification using biometrics and open data, such as publicly available data on the Internet. A person may provide various types of information about the person, including a name and an image of the person. An Internet search may be performed on the provided name and one or more publicly-available images corresponding to that name may be acquired. Biometric analyses may be performed on both the image provided by the person and the acquired one or more images to determine whether any of them match the person. Metadata may be extracted from a matching image. Moreover, data relating to the person may be acquired from the source of the matched image. The metadata and the data from the source may be compared with the information provided by the person to validate the identity of the person.

Abstract: The present invention provides a method and a device for synchronously collecting fingerprint information. By setting a fingerprint recognition area on a display unit of a terminal, and placing a sensing unit below the fingerprint recognition area to receive a sliding track of the user's finger on the display unit and, when the user's finger slides to the fingerprint recognition area, to synchronously collect fingerprint information corresponding to the user's finger, thereby synchronously collecting the user's sliding track information (such as an electronic signature) and the user's fingerprint information, and effectively reducing the user's operation steps and improving user's experience.

Abstract: An information processing device includes a communication interface to receive a facial image of a store customer, position information for the customer indicating a position of the customer in the store, and item registration information indicating items registered by the customer using a customer terminal. A processor compares the facial image to a facial image pattern associated with potential customer states, compares the position information to a movement pattern associated with potential customer states, and compares the item registration information received via the communication interface to pre-established item registration values associated with potential customer states. Based on the comparisons, the processor identifies whether a present state of the customer is considered to be one of the potential customer states. A report is generated if the present state of the customer is considered one of the potential customer states.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Accordingly, the embodiments herein provide a method for managing operations of an electronic device. The method includes transmitting an input signal corrupted by noise to a trained model with a plurality of output states. Further, the method includes dynamically determining an entropy for the plurality of output states of the trained model. Further, the method includes determining whether the entropy exceeds a pre-defined threshold.

Abstract: Embodiments of the present disclosure pertain to matching transactional data. In one embodiment, the present disclosure includes a computer implemented method comprising receiving transactional data for a first user and second data for the first user, selecting transactional data records for the first user from a data store of transactional data for a plurality of users, determining a plurality of similarities between fields of the transactional data and second data, determining a likelihood of a match between a transactional data field and a second data field based on the plurality of similarities using a machine learning model, and in accordance therewith, identifying one record in the transactional data records for the first user that generates said likelihood of the match above a first threshold, and replacing values second data fields with corresponding values in the one record.

Abstract: An exemplary additive manufacturing method includes receiving a build file comprising instructions for controlling the manufacturing hardware to generate an object, receiving a material identifier indicating a particular lot of manufacturing media, validating the build file and the material identifier via a distributed ledger to verify both an author of the build file and an origin of the particular lot of manufacturing media, causing manufacturing hardware to generate the object using the build file and the particular lot of manufacturing media, generating an object manufactured transaction to the distributed ledger indicating a result of the validation of the origin of the at least one of the build file or the material identifier, and certifying the object in response to verifying the author of the build file and the origin of the particular lot of manufacturing media, and wherein the object manufactured transaction indicates that the object is certified.

Abstract: An image processing apparatus includes a layout analyzing part that executes layout analysis for image data, an extraction part that extracts a diagrammatic representation from the image data by using a result of the layout analysis, a character recognizing part that executes character recognition for a partial area having a high probability of presence of a character string in a relationship with the extracted diagrammatic representation, and an erecting direction deciding part that decides an erecting direction of the image data by using a result of the character recognition.

Abstract: A mobile application for facilitating configuration and installation of networking and extender devices in a local area network utilizes augmented reality to provide configuration guidance information and network information. For configuring the networking device, a camera of the mobile computing device captures an image depicting the networking device, which is displayed on a touchscreen display of the mobile computing device with graphical elements including icons and textual information overlaid on the image to indicate configuration guidance information. Similarly, for installing the extender device, the camera captures image data depicting areas of the premises where the device is being installed and graphical elements are overlaid on the image data indicating network information such as the position of a previously installed networking device as well as the signal strength of wireless signals from the networking device.

Abstract: In accordance with some embodiments, a training method for biometric identity and authentication is provided. The method includes obtaining biometric data from a plurality of sources. The method further includes establishing a candidate set of neural network parameters. The method additional includes extracting a plurality of feature vectors from the biometric data using the candidate set of neural network parameters. The method also includes determining whether or not the plurality of feature vectors match a training vector set within an error threshold. The method further includes updating the candidate set of neural network parameters in response to determining that the plurality of feature vectors do not match the training vector set within the error threshold.

Abstract: Various client devices include displays and one or more image capture devices configured to capture video data. Different users of an online system are associated with client devices that exchange information captured by their respective image capture devices. A user of a client device may provide a message to an additional user of an additional client device for asynchronous presentation to the additional user. The message includes information identifying the additional user and one or more privacy settings. When the additional client device identifies the user via captured video data, the online system determines whether the message has previously been presented to the additional user. Subject to the privacy settings included in the message, the additional client device presents the message to the additional user after detecting the additional user and determining the message has not previously been presented to the additional user.

Abstract: A computer-implemented certificate verification method includes: obtaining, by a certificate verification module, at least two images of a certificate, in which the at least two images are acquired under different acquisition conditions; obtaining, from the at least two images, at least two target images that correspond to respective images of the at least two images and that each include an image of a light-reflective coating of the certificate; and determining, based on the at least two target images, a probability that the certificate is an original.

Abstract: Methods and systems are disclosed for user recognition and express for an automobile. For one example, a data processing system for an automobile includes a database, a user capture device, and a computer. The database stores at least an image of a user of the automobile. The user capture device captures at least an image of the user. The computer is coupled to the database and the user capture device. The computer allows the user access to the automobile if the user is authenticated as a valid user by determining if stored image of the user match the captured image of the user. The facial features can include two-dimensional (2D) or three-dimensional (3D) images including facial features. The computer allows the user access to the automobile and controls of the automobile if the user is authenticated as a valid user. The computer can also deny the user access to the automobile and controls of the automobile if the user is not authenticated as a valid user.

Abstract: An identity authentication method includes detecting a scenario in which the user equipment is located, determining, from at least two different authentication levels of the user equipment, an authentication level corresponding to the scenario in which the user equipment is located, acquiring current biometric feature data entered by a user, and determining, according to the current biometric feature data, preconfigured biometric feature data, and the authentication level, whether identity authentication succeeds.

Abstract: A system is disclosed. The system at least one physical memory device to store ink estimation logic and one or more processors coupled with the at least one physical memory device, to execute the ink estimation logic to receive a histogram for each of a plurality of color planes, receive uncalibrated ink deposition data for a printing system, perform a direct conversion of the uncalibrated ink deposition data to generate first calibrated ink deposition data and generate estimated ink usage data for each of the plurality of color planes based on the histograms and the first calibrated ink deposition data.

Abstract: A system includes one or more server hardware computing devices includes one or more processors and memory storing instructions that, when executed by the one or more processors, cause the system to receive a request to verify an identity of a user attempting to complete an examination provided by an online proctored examination platform to a candidate user authorized to complete the examination and repeatedly, at a predefined interval during the examination, determine, based at least in part on user data collected by the online proctored examination platform during the examination, the user data identifying the user at a time that the interval elapses, whether the user is the candidate user, and, responsive to a determination that the user is not the candidate user, perform one or more of a plurality of actions associated with a failed identity verification, the plurality of actions including stopping the examination.

Abstract: In accordance with a first aspect of the present disclosure, a fingerprint sensing device is provided, comprising a plurality of sensor cells, wherein each sensor cell comprises: at least one sense plate and a discharge electrode insulated from the sense plate; a first discharge path for discharging a first static electricity charge to a first electric potential terminal; a second discharge path for discharging a second static electricity charge to a second electric potential terminal; a charge reservoir coupled between the first electric potential terminal and the second electric potential terminal. In accordance with a second aspect of the present disclosure, a corresponding method of producing a fingerprint sensing device is conceived.

Abstract: Embodiments of the present disclosure disclose an authentication method, an electronic device, and a computer-readable program medium. A specific embodiment of the method comprises: acquiring multimedia input information of a user in response to receiving an authentication request from the user; parsing the multimedia input information to obtain a parsing result; authenticating the user based on the parsing result; and transmitting an authentication result to the user; wherein the multimedia input information includes human face video input information and voice input information of the user; and the parsing result includes at least two of: biometric feature information of the user, voice content information, and behavior feature information of the user. The embodiments may lower a risk that a hacker forges the information for authentication inputted by the user.

Abstract: A voice assistant requests a first terminal among a plurality of terminals to execute an authentication process, receives a result of the authentication process from one of the plurality of terminals, and transmits the result of the authentication to a service providing system as response to the authentication request in a case in which an authentication request is accepted from the service providing system. Each of the plurality of terminals executes a biometric authentication process using user's biometric information read by the biometric information sensor using an authenticator if a request from the voice assistant is received and responds to the voice assistant with a result of the biometric authentication process. The voice assistant requests a second terminal other than the first terminal among the plurality of terminals to execute an authentication process if a predetermined condition is satisfied after requesting the first terminal to execute the authentication process.

Abstract: Self-directed health screening systems and methods utilizing user navigation and device integration, health analyzing algorithms, and/or self-learning techniques for the detection, quantifying, prevention, and management of health risks and discoverable health conditions. Implementations herein may include components or involve aspects associated with information collection, information processing, display/provision/rendering of professional advice, and/or processing of various associated data and information via network(s). Implementations herein provide for innovatively configured, easily upgradable, efficient, portable, scalable, easy-to-use, usage-encouraging, and/or effective implementations for screening, predicting points of inflection of pending health issues, preventing and/or managing users' health, provided via various and multiple embodiments having numerous advantages over other known techniques.

Abstract: Disclosed herein is a multi biometric terminal that includes a host system capable of recognizing two or more physical features. The host system includes a biometric data input unit configured to acquire biometric data of a user, and a biometric data identification unit configured to compare the acquired biometric data with pre-registered biometric data of the user to perform identification. When a body of the user approaches in a non-contact manner, the biometric data input unit receives a plurality of types of biometric data from the body. The host system is accommodated in a single module or housing.

Abstract: A method may include: receiving an image of a mouth region of a patient's face; extracting teeth contours within the image of the mouth region of the patient's face; locating a mouth opening within the image of the mouth region of the patient's face; extracting the tooth contours from a 3D model of the patient's teeth; and aligning the tooth contours from the 3D model with the tooth contours of the teeth within the image of the mouth region of the patient's face.

Abstract: This disclosure describes a method and device for processing ride-sharing requests. The method and device process ride requests received from a first mobile device and generate a first hash corresponding to the ride request. The disclosure also describes a method and device for processing ride sharing responses. The method and device receives a ride request from a rider account, transmits a ride response to the rider account, compares a first location to a current location, determines that a difference between the first location and the current location is less than a threshold value, conducts a visual analysis of one or more persons proximate to the current location, requests that the rider audibly identify themselves, and determines, based at least in part on the audible identification and visual identification, that the rider is associated with the rider account.

Abstract: Systems and methods are described that include receiving an indication of a scanned document from a scanning device, waiting a delay period in response to receiving the indication of the scanned document, and instructing an image capture device to capture an image of a document holder after waiting the delay period. In this manner, the described systems and methods may increase facial recognition throughput by waiting the delay period after receiving the indication of the scanned document, allowing for sufficient time for the document holder to look up from the scanning device to the image capture device.

Abstract: In one aspect, a fingerprint sensor device includes sensing circuitry to generate a sensor signal responsive to detecting a contact input associated with a fingerprint. The sensing circuitry includes a fingerprint sensor to detect the contact input and generate a signal indicative of an image of the fingerprint. The sensing circuitry includes a live finger sensor to generate a signal indicative of an identification of the fingerprint as belonging to a live finger. The generated sensor signal includes the signal indicative of the image of the fingerprint and the signal indicative of the identification of the fingerprint as belonging to a live finger. The fingerprint sensor device includes processing circuitry communicatively coupled to the sensing circuitry to process the generated sensor signal to determine whether the contact input associated with the fingerprint belongs to a live finger.

Abstract: Some aspects are directed to additive manufacturing systems. An example additive manufacturing system controller is configured to receive a build file comprising instructions for controlling the manufacturing hardware to generate the object, receive a material identifier indicating a particular lot of manufacturing media, validate the build file and the material identifier via a distributed ledger to verify at least one of an author of the build file or an origin of the particular lot of manufacturing media, control the manufacturing hardware using the build file to generate the object using the particular lot of manufacturing media, and in response to completion of the generation of the object, generate an object manufactured transaction to the distributed ledger indicating a result of the validation of the origin of the at least one of the build file or the material identifier.

Abstract: Methods and systems are disclosed herein for a media guidance application that recommends media content based on activities recently performed by a user. For example, in response to determining that a user recently finished the laundry, the media guidance application may recommend a movie that other users accessed after finishing the laundry.

Abstract: A system and method and for verifying that distorted biometric information submitted to a computing device is authentic. In various embodiments, the method includes receiving a signal indicative of a distorted biometric of a person; determining a DNA sequence code of the signal indicative of the distorted biometric signal; generating a first dataset based on the DNA sequence code; hashing the first dataset to obtain a second dataset; encrypting the second dataset; storing the encrypted second dataset into a blockchain; comparing the second dataset to a test dataset to determine if the second and test datasets are from a related data source and remain unchanged from the distorted biometric of the person; and updating a new transaction record on the blockchain to indicate that the blockchain transaction has been validated.

Abstract: A system is disclosed. The system has a door that selectively opens to allow access to a cavity and selectively closes to block access to the cavity, a lock configured to selectively lock and unlock the door when the door is closed, a camera configured to image a user area adjacent to the door, computing memory having associated therewith code, and a processor communicatively coupled with the computing memory. The system is configured to execute the code and to control the camera to record a first image data of the user area at a first time, store the first image data, control the camera to record a second image data of the user area at a second time, and selectively unlock the door based on comparing the second image data to the first image data.

Abstract: A cat toilet, etc., which specifies precisely one cat who entered a toilet for cat is provided. The present invention relates to a camera for capturing a plurality of images of a cat entering a cat toilet, a cat identifying process for identifying identifiers of one cat appearing in a plurality of images based on a plurality of images captured by the camera section, the cat identification processing section extracts each feature amount from a plurality of images, determines the identifier of one cat as the identification result for each image based on the feature amount, and makes a majority decision of the identification result based on this, identifiers of one cat appearing in a plurality of images are specified.

Abstract: Techniques for reducing fraud are disclosed. A transaction request is received from a user to perform a transaction using an account. In one approach, a source icon is displayed prior to executing the request. The source icon includes a graphical representation of an owner of the account. In another approach, at least one of a photograph and a voice of the user is recorded prior to executing the request. In a third approach, the user is informed that at least one of a photograph, a voice print, and location data will be taken prior to executing the transaction request.

Abstract: Face image data is acquired and a face image is captured, and a difference between a face image indicated by the face image data and the face image that is captured or a candidate of the difference is detected on the basis of at least one of the face image indicated by the face image data that is acquired, and the face image that is captured. Guidance is acquired on the basis of the difference or the candidate of the difference which is detected, and an output unit is controlled to output the guidance.