Abstract: There is provided a fingerprint recognition device. The device comprises an acquisition unit that acquires an original fingerprint image; a memory including instructions for generating a restored fingerprint image from the original fingerprint image using a pre-trained artificial neural network, the restored fingerprint image having a resolution substantially identical to that of the original fingerprint image; and a processor for executing the instructions to generate the restored fingerprint image having the resolution substantially identical to that of the original fingerprint image and minutiae substantially identical to minutiae in the original fingerprint image, wherein the artificial neural network is pre-trained to generate the restored fingerprint image by reflecting minutiae in a degraded fingerprint image obtained through degrading the original fingerprint image and minutiae in the restored fingerprint image.

Abstract: There is provided a method for training a fake fingerprint detection model, performed by a training device for the fake fingerprint detection model, the method comprising: acquiring a physical fake fingerprint image generated in a physical manner targeting a finger; providing generation constraints and a unique identification information to a training fingerprint image generation model; generating a training fingerprint image by using the training fingerprint image generation model, so that the unique identification information of the training fingerprint image is mapped onto a real fingerprint of the finger; and training the fake fingerprint detection model using the physical fake fingerprint image and the training fingerprint image in a transfer learning manner or an ensemble learning manner.

Abstract: There is provided a method for training a neural network for generating a deformed face image from a face image preformed by an apparatus including a memory and a processor. The method comprises acquiring a face image for training; extracting facial feature information from the face image for training; and training the neural network to generate a deformed face image on the basis of the facial feature information, wherein the training includes generating multiple facial feature information that is gradually changed depending on the dosage or use duration of drugs, using the facial feature information as input data for training.

Abstract: An apparatus for fingerprint recognition comprises: at least one memory capable of storing computer-executable instructions for generating unique feature information on fingerprint from a plurality of fingerprint information using a pre-trained artificial neural network; a fingerprint sensing module configured to obtain a fingerprint image of a finger; and a processor configured to, by executing the instructions, obtain a plurality of fingerprint information from the fingerprint image; and perform the instructions to process to generate a plurality of fingerprint images reflecting a plurality of state change information based on the plurality of fingerprint information, and to generate the unique feature information for the plurality of fingerprint images, wherein the plurality of state change information includes limited information within a range constrained by deviations of the plurality of fingerprint information.

Abstract: There is provided a fingerprint feature extraction device including a fingerprint contact surface. The device comprises a fingerprint input sensor configured to detect a fingerprint of a target in contact with the fingerprint contact surface; a memory configured to store instructions for outputting a fingerprint feature extraction result with respect to the fingerprint input from the fingerprint input sensor using a pre-trained neural network; and a processor configured to execute the instructions, wherein the instructions, when executed by the processor, cause the processor to modify feature information of a fingerprint registered in the fingerprint feature extraction device on the basis of feature information of the input fingerprint of the target, pair the modified feature information of the registered fingerprint with the feature information of the input fingerprint, and input results of pairing to the neural network to output the fingerprint feature extraction result.

Abstract: An access authentication method using SNS linkage and a device using the same are disclosed. According to one embodiment, a method for access authentication of a terminal comprises acquiring identification information of a control device from the control device, performing login for a user of the terminal to an authentication server, and acquiring user identification information of the terminal from the authentication server according to the login, generating authentication data based on the identification information of the control device and the user identification information, and transmitting the authentication data to a server that performs user authentication for the user of the terminal, wherein the server being different from the authentication server.

Abstract: There is provided a method of registering authentication information. The method comprises generating a plurality of biometric information recognition areas on a display module of the electronic device; detecting an input of biometric information on at least one of the plurality of biometric information recognition areas; determining location information indicating at least one recognition region on which the input of biometric information is detected; and registering, as authentication information, the input biometric information and the location information.

Abstract: There is provided a method for training an image processing model. The method comprises preparing the image processing model including a first generative model, a second generative model, and a segmentation model; inputting a first RGB image into the first generative model and determining a near-infrared ray (NIR) image as an output of the first generative model; inputting the NIR image into the second generative model and determining a second RGB image as an output of the second generative model; inputting the first RGB image and the second RGB image into a segmentation model and determining a first segmentation image and a second segmentation image as outputs of the segmentation model; and setting parameters of the first generative model based on an error between the first RGB image and the second RGB image and an error between the first segmentation image and the second segmentation image.

Abstract: An access control device according to an embodiment includes: a communication module configured to perform communication by using a UWB communication protocol and one or more processors, and the communication module includes: a substrate, an antenna disposed on a first surface of the substrate, and a ground disposed on a second surface which is opposite to the first surface of the substrate, and the one or more processors are configured to: receive a signal from a user terminal through the communication module; and determine whether the user terminal is positioned in a first direction or second direction, based on a change in a phase angle of the signal received from the user terminal when a direction from the substrate to the antenna is the first direction and a direction from the substrate to the ground is the second direction.

Abstract: An access control device according to an embodiment includes: a communication module configured to perform communication by using a UWB communication protocol and one or more processors, and the communication module includes: a substrate, an antenna disposed on a first surface of the substrate, and a ground disposed on a second surface which is opposite to the first surface of the substrate, and the one or more processors are configured to: receive a signal from a user terminal through the communication module; and determine whether the user terminal is positioned in a first direction or second direction, based on a change in a phase angle of the signal received from the user terminal when a direction from the substrate to the antenna is the first direction and a direction from the substrate to the ground is the second direction.

Abstract: A terminal apparatus assembly include: a terminal configured to be selectively fastened to a bracket; and a locking unit including an inner locking part configured to be movable with respect to the bracket such that the terminal and the bracket are fastened to or separated from each other. The inner locking part is configured to move in one direction toward the bracket or the terminal when at least a portion is pressed by an external force and to move in a direction opposite to the one direction by a restoring force when the pressing is released.

Abstract: According to one embodiment of the present application, provided is an access management method of an access control device, comprising the steps of: receiving, from a user terminal, a first advertising packet including open authentication information; generating a key on the basis of at least a first random key; confirming the open authentication information on the basis of the generated key; and determining the opening of a door on the basis of the open authentication information.

Abstract: A method and system allow management of access to a door using a beacon signal. A user access authority determination unit controls access of a user to a target door based beacon data from beacons installed near a door. The user carries a terminal that obtains the beacon data based on a proximity to the beacons. The method includes identifying the target door based on identification information of the beacons extracted from the beacon data. A type of user movement is determined. The type of user movement includes an entering movement that the user enters into an inner side from an outer side through the target door and an exiting movement that the user exits the inner side to the outer side through the target door. An access authentication process to be performed to unlock the target door is determined according to the determined type of user movement.

Abstract: A method for registering a fingerprint of a user through an electronic device, comprising: sensing a fingerprint input into a fingerprint recognition area formed on a display module of the electronic device to capture at least one image of the fingerprint input; determining characteristics of the fingerprint input based on the at least one image of the fingerprint input when the fingerprint input is a rolled fingerprint; and storing the at least one image of the fingerprint input and the characteristics of the fingerprint input as personalized information of the user.

Abstract: Disclosed herein are a method for access control using real-time positioning technology and a device using the same. According to a positioning method of a positioning module, the positioning module is configured to measure a location of at least one location-unrecognized device and a location of a terminal, wherein the at least one location-unrecognized device, the terminal and at least one location-recognized device is located in a certain zone, and wherein the positioning module has coordinate information of the at least one location-recognized device and the positioning module has not coordinate information of the at least one location-unrecognized device.

Abstract: A method and system allow management of access to a door using a beacon signal. A user access authority determination unit controls access of a user to a target door based beacon data from beacons installed near a door. The user carries a terminal that obtains the beacon data based on a proximity to the beacons. The method includes identifying the target door based on identification information of the beacons extracted from the beacon data. A type of user movement is determined. The type of user movement includes an entering movement that the user enters into an inner side from an outer side through the target door and an exiting movement that the user exits the inner side to the outer side through the target door. An access authentication process to be performed to unlock the target door is determined according to the determined type of user movement.

Abstract: A method of determining a counterfeit fingerprint by a system for determining a counterfeit fingerprint that includes an internal light source and an external light source, comprising: extracting a first fingerprint area of a first fingerprint image obtained from a light signal of the internal light source when a target object's fingerprint comes in contact with a fingerprint contact surface of the system for determining a counterfeit fingerprint; extracting a second fingerprint area of a second fingerprint image obtained from a light signal of the external light source based on the first fingerprint area; and inputting the first fingerprint area and the second fingerprint area into a pre-trained neural network of the system for determining a counterfeit fingerprint to output a result of determining whether the fingerprint is counterfeit.

Abstract: A method for processing an image, which is performed by an image processing apparatus, is provided. The method includes acquiring a first image including an object and a second image including an object identical to the object in the first image under the same condition, acquiring three-dimensional direction information of a specific part of the object in the first image, and providing a three-dimensionally processed image by three-dimensionally rotating the object in the second image by an angle that corresponds to the acquired three-dimensional direction information of the specific part of the object in the first image.

Abstract: According to one embodiment of the present application, provided is an access management method of an access control device, comprising the steps of: receiving, from a user terminal, a first advertising packet including open authentication information; generating a key on the basis of at least a first random key; confirming the open authentication information on the basis of the generated key; and determining the opening of a door on the basis of the open authentication information.

Abstract: Disclosed herein are a method for access control using real-time positioning technology and a device using the same. According to a positioning method of a positioning module, the positioning module is configured to measure a location of at least one location-unrecognized device and a location of a terminal, wherein the at least one location-unrecognized device, the terminal and at least one location-recognized device is located in a certain zone, and wherein the positioning module has coordinate information of the at least one location-recognized device and the positioning module has not coordinate information of the at least one location-unrecognized device.