Abstract: Examples relate to an optical imaging system, and to a corresponding apparatus, method and computer program for an optical imaging system. The optical imaging system comprises one or more information sources for providing information about a current orientation of the optical imaging system towards at least a part of an object of interest. The optical imaging system comprises one or more output modules for providing guidance information for a user of the optical imaging system. The optical imaging system comprises a processing module configured to determine information on a desired orientation of the optical imaging system towards at least a part of the object of interest.

Abstract: An information processing apparatus including a specification section specifying, from among a plurality of blocks that are set by dividing pixels included in at least a partial region of a pixel region having a plurality of pixels arrayed therein and each of which includes at least one or more of the pixels, at least one or more of the blocks, and a generation section generating a unique value based on pixel values of the pixels included in the specified blocks.

Abstract: A smart toilet (100) includes an information acquisition device (110) and a control device (120). The information acquisition device (110) is configured to acquire feature information of the smart toilet (100) in a working state, the feature information at least including voiceprint information and odor information, or voiceprint information, or odor information of a human body using the smart toilet (100). The control device (120) includes an identity recognition component (121) configured to recognize, according to the feature information, the identity of the human body using the smart toilet (100). An electric appliance system including the smart toilet (100) is further included.

Abstract: This invention relates to Banking, National Security and Governance with BIOMETRIC UNIQUE COMBINATION IDENTIFICATION SYSTEM and in particular, this invention relates to Banking, National Security and Governance with BIOMETRIC UNIQUE COMBINATION IDENTIFICATION SYSTEM which will provide paperless, fraud less, ultra secure, convenient, cheap, fast, affordable banking, enhance National Security and provide good governance to all since it will completely eradicate the possibility of having more than one identity. Furthermore, this invention also relates to Banking, National Security and Governance with BIOMETRIC UNIQUE COMBINATION IDENTIFICATION SYSTEM which has the advantages of being simple in structure and convenient to use and install, improving the filling efficiency, reducing manual costs and the like.

Abstract: The technology described herein discloses systems and methods for upgrading biometric authentication system. The system can receive first biometric information in connection with an authentication request from a user. The system can authenticate the user via a first authentication system by comparing the first biometric information received in connection with the authentication request with second biometric information. The user can be automatically enrolled into a second authentication system using the first biometric information received in connection with the authentication request.

Abstract: In general, in one aspect, one or more embodiments relate to a method including receiving, in a business rules engine, input data from disparate data sources. The input data describes a merchant and an application by the merchant to use an electronic payments system for processing transactions between the merchant and customers. Featurization is performed on the input data to form a machine readable vector. By applying the machine readable vector as input to a machine learning model in a machine learning layer, a risk score is predicted. The machine learning model is trained using training data describing use of the electronic payments system by other merchants. The risk score is an estimated probability of the merchant being unable to satisfy an obligation of using the electronic payments system. A business rules engine, based on the risk score, limits use of the electronic payments system by the merchant.

Abstract: In an embodiment, a method for generating contrastive information for a classifier prediction comprises receiving image data representative of an input image, using a deep learning classifier model to predict a first classification for the input image, evaluating the input image using a plurality of classifier functions corresponding to respective high-level features to identify one or more of the high-level features absent from the input image, and identifying, from among the high-level features absent from the input image, a pertinent-negative feature that, if added to the input image, will result in the deep learning classifier model predicting a second classification for the modified input image, the second classification being different from the first classification. In an embodiment, the method includes creating a pertinent-positive image that is a modified version of the input image that has the first classification and fewer than all superpixels of the input image.

Abstract: Disclosed are a method and apparatus for identifying versions of a form. In an example, clients of a medical company fill out many forms, and many of these forms have multiple versions. The medical company operates in 10 states, and each state has a different version of a client intake form, as well as of an insurance identification form. In order to automatically extract information from a particular filled out form, it may be helpful to identify a particular form template, as well as the version of the form template, of which the filled out form is an instance. A computer system evaluates images of filled out forms, and identifies various form templates and versions of form templates based on the images.

Abstract: A non-transitory computer-readable recording medium has recorded therein a program for causing a processor to function as: a touch information acquirer configured to acquire touch information regarding at least one of an area and a shape of a touch area on a touch panel with which an object comes in contact; and a determiner configured to determine, when the touch information acquired by the touch information acquirer indicates that a contact between the object and the touch panel is present, whether input of an instruction regarding a direction in the touch panel is present, based on the touch information.

Abstract: Provided is relative multifactor authentication for interactions between users and one or more entities. Relative multifactor authentication includes monitoring a set of attributes associated with a user during an interaction between the user and the entity. The set of attributes include at least two of a behavioral attribute, a health attribute, a geospatial attribute, and a device attribute. Relative multifactor authentication also include comparing respective parameters of attributes of the set of attributes with expected parameters and determining an authentication status based on the comparison and weighted values assigned to respective attributes of the set of attributes. The user is selectively authenticated to begin to continue the interaction based on the authentication status.

Abstract: Disclosed in some examples are methods, systems, devices, and machine-readable mediums that provide an ability for an entity to independently commence, advance, and complete a resource allocation offer in a matter of minutes as opposed to weeks or months after an automated resource pre-committal process. The system, using and incorporating machine learning techniques and algorithms, may have several phases, including a setup phase, resource pre-committal phase, an import phase, a processing phase, a verification phase, a resource allocation offer phase, and a resource allocation phase in which the system allocates resources to a vendor.

Abstract: The invention provides methods, systems and computer program products for implementing pre-authorized payment transactions.

Abstract: A processor-implemented method includes: obtaining an input embedding vector corresponding to an input fingerprint image for authentication; determining a confidence value of the input embedding vector based on fingerprint data of an initial model including either one or both of a trained real fingerprint determination model and a trained fake fingerprint determination model that are provided in advance; and updating the initial model based on the input embedding vector, in response to the confidence value being greater than or equal to a first threshold.

Abstract: A representation of a user can move with respect to a graphical user interface based on input of a user. The graphical user interface comprises a central region and interaction elements disposed outside of the central region. The interaction elements are not shown until the representation of the user is aligned with the central region. A gesture of the user is recognized, and, based on the recognized gesture, the display of the graphical user interface is altered and an application control is outputted.

Abstract: Eye-tracking systems of the present disclosure may include at least one light source configured to emit modulated radiation toward an intended location for a user's eye. The modulated radiation may be modulated in a manner that enables the light source to be identified by detection and analysis of the modulated radiation. At least one optical sensor including at least one sensing element may be configured to detect at least a portion of the modulated radiation. A processor may be configured to identify, based on the modulated radiation detected by the optical sensor, the light source that emitted the modulated radiation. Various other methods, systems, and devices are also disclosed.

Abstract: An encryption method includes an operation method of an encryption system and is a method of encrypting encryption target information.

Abstract: A radar system for monitoring shelves in a retail environment, where the system monitors the occupancy of the shelves and/or the dynamics of the customers in front of the shelves. The radar is preferably a wideband 3D imaging MIMO radar.

Abstract: A personalized insurance (“PI”) computing device for determining an optimal insurance product for a driver operating a vehicle for a transportation network company (“TNC”) during a period of increased demand includes at least one processor in communication with at least one memory. The processor is configured to: (i) receive, from a TNC, data indicating increased demand for transportation services, (ii) retrieve driver data that includes the driver history, (iii) generate an optimal pricing model for the driver based upon the increased demand and the driver data, (iv) execute the model to determine an optimal insurance product having characteristics reflecting at least one risk factor associated with the increased demand for transportation services and a risk profile determined from analyzing the driver data, and (v) transmit an offer to the driver to provide transportation services at an increased earnings rate and with the determined optimal insurance product.

Abstract: An end-to-end multimodal gait recognition method based on deep learning includes: first extracting gait appearance features (color, texture and the like) through RGB video frames, and obtaining a mask by semantic segmentation of the RGB video frames; then extracting gait mask features (contour and the like) through the mask; and finally performing fusion and recognition on the two kinds of features. The method is configured for extracting gait appearance feature and mask feature by improving GaitSet, improving semantic segmentation speed on the premise of ensuring accuracy through simplified FCN, and fusing the gait appearance feature and the mask feature to obtain a more complete information representation.

Abstract: A fingerprint detection apparatus and an electronic device are provided. The fingerprint detection apparatus is applied under a display screen, the fingerprint detection apparatus includes a plurality of fingerprint detecting units distributed in an array or arranged in a staggered manner, and the fingerprint detecting unit includes: a plurality of optical sensing pixels; at least one micro lens disposed above the plurality of optical sensing pixels; and at least one light shielding layer disposed between the at least one micro lens and the plurality of optical sensing pixels, each of the at least one light shielding layer being provided with an opening corresponding to the plurality of optical sensing pixels; where oblique light signals in multiple directions are respectively transmitted to the plurality of optical sensing pixels through an opening provided in the at least one light shielding layer after being converged by the at least one micro lens.

Abstract: A registration system for classifying an object, comprising a sensor unit, an evaluation unit, a memory unit and a data-processing unit. The evaluation unit determines a structure data set or a temporal sequence of structure data sets of the object to be registered from a temporal progression of the radiation captured by the sensor assembly. The memory unit stores association rules, each associated with a set of situation parameters. The data-processing unit accesses the structure data set or a temporal sequence of structure data sets, the current situation parameter set, and the association rule associated with the current parameter set and to associate an object with an object class on the basis of the structure data set associated with the object or a temporal sequence of structure data sets by using an association rule associated with the current situation parameter set and received from the memory unit.

Abstract: An electronic device and method are disclosed herein. The electronic device includes a display, a biometric sensor, and at least one processor. The processor implements the method, including: when a touch input is detected to the display within the biometric sensing area, increase a brightness of a first pixel group within the biometric sensing area to a first brightness level, and execute at least one of maintaining and changing display of a second pixel group outside the biometric sensing area and, wherein the at least one of maintaining and changing display of the second pixel group includes one of: executing a black state in which display through the second pixel group is disabled, and changing a display attribute for the second pixel group such that a load on the second pixel group is reduced.

Abstract: Contactless fingerprint reader. The contactless fingerprint reader has one or more light sources adapted to emit light under different lighting conditions, a first camera adapted to successively capture first images of a subject captured with and without flash light, at least one second camera adapted to capture second images from different angles, one or more sensors adapted to generate one or more spatial-temporal signals representing a change of a distance between said subject and one or more locations of the contactless fingerprint reader, and communication module for sending the first images, said second images, and the one or more spatial-temporal signals to an anti-spoofing device.

Abstract: The disclosure provides a system that may receive an identification of a first patient; may receive a first template that includes first multiple locations associated with a face of the first patient and associated with the identification of the first patient; may determine second multiple locations associated with a face of a current patient; may determine a second template of the face of the current patient based at least on the second multiple locations associated with the face of the current patient; may determine if the first template matches the second template; if the first template matches the second template, may provide an indication that the current patient has been correctly identified as the first patient; and if the first template does not match the second template, may provide an indication that the current patient has not been identified.

Abstract: Examples of the present disclosure provide a face matching method and a face matching apparatus, and a storage medium. The face matching method includes: obtaining a first attribute of first face information which is to be matched; determining one or more preferential matching ranges based on the first attribute; and comparing the first face information with second face information in the one or more preferential matching ranges.

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.

Abstract: An imaging unit, an extraction unit, a feature amount pair generation unit, and an imaging parameter adjustment unit are included. The imaging unit acquires images obtained by imaging each of N (N?3) types of objects a plurality of times by setting a value of a specific imaging parameter, among a plurality of types of imaging parameters, as a certain candidate value and changing a value of the remaining imaging parameter. The extraction unit extracts a feature amount from each of the images. The feature amount pair generation unit generates, as a first feature amount pair for each of the N types of objects, a feature amount pair in which two feature amounts constituting the feature amount pair are extracted from images of objects of the same type, and generates, as a second feature amount pair for every combination of the N types of objects, a feature amount pair in which two feature amounts constituting the feature amount pair are extracted from a images of objects of the different types.

Abstract: A system provides intelligent gallery management for biometrics. A first gallery is obtained that includes biometric and/or other information on a population of people. An application is identified. A subset of the population of people is identified based on the application. A second gallery is derived from the first gallery by pulling the information for the subset of the population of people without pulling the information for the population of people not in the subset. Biometric identification (such as facial recognition) for the application may then be performed using the second gallery rather than the first gallery. In this way, the system is improved as less time is required for biometric identification, fewer device resources are used, and so on.

Abstract: According to various, but not necessarily all, embodiments there is provided an apparatus comprising means for: capturing or causing capture of an image of an object using a rolling shutter having an aperture width and shutter scan speed; during the image capture, projecting or causing projection of electromagnetic radiation with a fixed-spatial, time-variable distribution onto the object, wherein the time-variable distribution of the projected electromagnetic radiation, the aperture width of the rolling shutter, and the shutter scan speed of the rolling shutter, are such that adjustment of one or more of these would not decrease a proportion of projected electromagnetic radiation captured which is directly reflected from a surface of the object.

Abstract: The technology described in this document can be embodied in a method that includes obtaining, by one or more image acquisition devices, a first image of a portion of a human body under illumination by electromagnetic radiation in a first wavelength range, and obtaining a second image of the portion of the human body under illumination by electromagnetic radiation in a second wavelength range. The method also includes generating, by one or more processing devices, a third image or template that combines information from the first image with information from the second image. The method also includes determining that one or more metrics representing a similarity between the third image and a template satisfy a threshold condition, and responsive to determining that the one or more metrics satisfy a threshold condition, providing access to the secure system.

Abstract: A fog/edge server machine for authenticating a user in an edge computing model is disclosed using a data spectrum table and spectrum hash values to improve performance, efficiency, and/or security. The edge computing model may include, in some examples, a secure Internet of Things (IoT) and/or mobile-based authentication system. Illustrative embodiments of a spectrum table stored at fog/edge server, a spectrum data array and spectrum hash value generated and stored in memory at the fog/edge sever, and a large, data table stored at an application server are disclosed herein to show continuous/subsequent authentication of the user with attributes/values/inputs collected by one or more edge devices during post-login activities/interactions to re-authenticate/maintain the authentication.

Abstract: A system and method for determining whether persons depicted in images are wearing personal protective equipment (PPE) is disclosed. The system includes a PPE detection platform that, during a testing phase, comprises a person detector configured to detect persons in images and a deep neural network PPE classifier. The PPE classifier comprises a spatial attention module and is trained to predict whether or not a PPE item is present in the image sub-region corresponding to the detected person. During a training phase, the PPE detection platform comprises a body pose estimator that, based on the output of the person detector, determines a pose of the detected person's body and provides a spatial attention supervision signal used to train the spatial attention module of the PPE classifier and tune the PPE classifier. The PPE platform is configured to bypass the body pose estimator during the inference phase.

Abstract: An information processing apparatus in the present invention includes: an acquisition unit that, based on registration information including a plurality of registrants and registration time associated with each of the plurality of registrants and on the current time, acquires a first biometrics information group including biometrics information on a candidate of a matching process from a registered biometrics information group including biometrics information on the plurality of registrants; and a matching unit that matches biometrics information on a person detected from an image captured in a matching area against biometrics information included in the first biometrics information group.

Abstract: Embodiments of the disclosure describe a simulated phishing campaign manager that communicates a simulated phishing communication that includes at least the telephone number and reference identifier, to a device of a user. The content of the simulated phishing communication may prompt the user to call the telephone number identified in the simulated phishing communication. The security awareness system may select a telephone number and a reference identifier to use for the simulated phishing communication, the combination of which may be later used to identify a specific user if they respond to the message. Each of a plurality of users may have a unique combination of telephone number and reference identifier. The telephone number may be selected based on the geographic location of the user, or the telephone number may be selected to correspond to content in a simulated phishing communication.

Abstract: A biometric scanner apparatus comprising a biometric sensor configured to scan at least a biological sample and receive a unique biometric pattern, a secret data extractor configured to receive the unique biometric pattern from the biometric sensor and generate an output comprising a sample-specific secret, and a sample identifier circuit communicatively connected to the secret data extractor wherein the sample identifier circuit is configured to produce at least an output comprising a secure proof of the sample-specific secret.

Abstract: Embodiments of the present disclosure provide a method, a device, and a program product for keystroke pattern analysis.

Abstract: Systems and methods for correlating access-system primitives generated by an access control system and semantic primitives generated by a sensor data comprehension system.

Abstract: Embodiments included herein are directed towards a method for synchronizing notary meeting interactions between multiple software clients. Embodiments may include allowing a signer to join, via a graphical user interface associated with a first software client, a remote notary meeting. Embodiments may also include permitting a remote notary agent to control the remote notary meeting using a second software client. Embodiments may further include synchronizing one or more behaviors associated with the first software client and the second software client using an application programming interface (API).

Abstract: A comparison unit (22) compares a measurement value, which is one of changes over time in a voltage value of a bus line (11), distance transition of the voltage value, changes over time in an impedance value of the bus line (11), and distance transition of the impedance value that have been measured, with a normal value, which is one of changes over time in a voltage value of the bus line (11), distance transition of the voltage value, changes over time in an impedance value of the bus line (11), and distance transition of the impedance value in a normal state, and extracts a difference between the measurement value and the normal value. An unauthorized connection determination unit (24) evaluates the difference between the measurement value and the normal value extracted by the comparison unit (22), so as to determine whether an unauthorized device is connected to the bus line (11).

Abstract: Generating fingerprint templates, including receiving a fingerprint image of a user that is obtained at a first fingerprint sensor; identifying a plurality of fingerprint template creation models, each fingerprint template creation model associated with a respective other fingerprint sensor, each other fingerprint sensor differing from one another and differing from the first fingerprint sensor; applying each of the fingerprint template creation models to the fingerprint image to generate respective fingerprint templates; associating, for each generated fingerprint template, i) an identification (ID) of the other fingerprint sensor that corresponds to the fingerprint model that generated the fingerprint template and ii) a user identification (ID) of the user associated with the fingerprint image obtained at the first fingerprint sensor; and storing each of the generated fingerprint templates in a database.

Abstract: An authentication device includes an acquisition unit that acquires first image data generated at a first timing and indicating a first face of a living creature to be authenticated, age information indicating an age of the living creature at the first timing, second image data generated at a second timing later than the first timing and indicating a second face of the living creature, and aging information indicating a time period from the first timing to the second timing, and a controller that compares the first image data with the second image data. The controller calculates a similarity between the first face and the second face based on the first image data and the second image data, corrects the similarity based on the age information and the aging information, and determines, based on the corrected similarity, whether the living creature in the first image data is identical to the living creature in the second image data.

Abstract: The present invention relates to a method and system that automatically classifies tissue type/patterns and density categories in mammograms. More particularly, the present invention relates to improving the quality of assessing density and tissue pattern distribution in mammography. According to a first aspect, there is provided a computer-aided method of analysing mammographic images, the method comprising the steps of: receiving a mammogram; segmenting one or more anatomical regions of the mammogram; identifying a tissue type and a density category classification for an anatomical region; and using the identified tissue type and density category classifications to generate classifications output for the mammogram.

Abstract: Examples described herein include systems for reconstructing facial image data from partial frame data and landmark data. Systems for generating the partial frame data and landmark data are described. Neural networks may be used to reconstruct the facial image data and/or generate the partial frame data. In this manner, compression of facial image data may be achieved in some examples.

Abstract: A method for ensuring a user is permitted to conduct an activity is provided that includes the steps of capturing, using a computing device, data for a biometric modality of a user and identifying information of an object. The method also includes transmitting, via a network, the captured biometric modality data and identifying information to a computer and conducting a verification transaction based on the captured biometric modality data to verify the identity of the user. When the identity of the user is successfully verified, a verification transaction is conducted based on the captured object identifying information and the user is permitted to use the object to conduct the activity when the object is successfully verified.

Abstract: The present disclosure discloses a face identification system that includes an image-retrieving circuit, an invisible light source and a processing circuit. The image-retrieving circuit includes light-sensing elements each including a plurality of visible light sensors and an invisible light sensor. The processing circuit executes software and firmware executable commands to execute a face identification method that includes the steps outlined below. An invisible light is emitted to an object to be identified by the invisible light source. A visible light sensed frame and an invisible light sensed frame are retrieved by using the visible and invisible light sensors. Determine whether a light reflection related parameter of the invisible light sensed frame is within a predetermined range is determined only according to the invisible light sensed frame. When the light reflection related parameter is within the predetermined range, the object to be identified is determined to be a real face.

Abstract: A method of generating a biometric electronic signature authenticated key exchange (“BESAKE”) token. The method begins when a biometric sample captured from a signing party is received. A secret knowledge factor is received. An encryption key is generated using the secret knowledge factor as an input to a password authenticated key exchange protocol. The biometric sample is encrypted with the encryption key. The BESAKE token is generated and includes the encrypted biometric sample and a signing party identifier associated with the secret knowledge factor. The BESAKE token can be verified using a decryption key generated using a stored knowledge factor as an input to the password authenticated key exchange protocol. The secret knowledge factor is retrieved based on the signing party identifier. The identity of the signing party can be authenticated by decrypting the biometric sample from the BESAKE token using the decryption key and matching the decrypted biometric sample.

Abstract: In some embodiments, eye tracking is used on an AR or VR display system to determine if a user of the display system is blinking or otherwise cannot see. In response, current drain or power usage of a display associated with the display system may be reduced, for example, by dimming or turning off a light source associated with the display, or by configuring a graphics driver to skip a designated number of frames or reduce a refresh rate for a designated period of time.

Abstract: Provided are a fingerprint reading device and a fingerprint reading method that can appropriately read a fingerprint even when reading a fingerprint of a relatively soft finger that may be easily subjected to significant elastic deformation. The fingerprint reading device includes: a placement portion on which a finger is placed, provided with a reading face so as to be able to move between first and second positions; a drive unit that causes the reading face to move between the first and second positions; and a reading unit that reads a fingerprint when the reading face is positioned at the first position, the drive unit causes the reading face to move to the second position and further move from the second position to the first position, and the reading unit reads a fingerprint when the reading face has moved from the second position to the first position.

Abstract: A portable security inspection device based on millimetre wave imaging comprising a hand-held body, wherein the hand-held body is provided with a millimetre-wave transmitting circuit for generating a millimetre-wave transmitting signal, a millimetre-wave array antenna for transmitting the millimetre-wave transmitting signal to a detected object and for receiving an echo signal reflected by the detected object, and a millimetre-wave receiving circuit for processing the echo signal and converting the echo signal into image data of the detected object.

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.