Abstract: A method for authenticating an identity of a person may involve acquiring a sample fingerprint image of a finger of the person. Two or more sub-portions may be extracted from the sample fingerprint image to form a plurality of fingerprint test images. A fingerprint recognition may be independently run on the plurality of fingerprint test images. The identity of the person may be authenticated upon a positive outcome from the independently run finger-print recognitions. A device may be provided for authenticating an identity of a person.

Abstract: There is a verification application arranged to interact with other applications on an electronic device, the electronic device having a processor, a memory and an operating system controlling operation of the verification application and the other applications on the processor using arbitrary memory locations, where the other applications are enabled to call the verification application to securely determine authenticity of a user of the electronic device. The verification application is arranged to receive verification data for secure determination of authenticity of the user; and provide, upon a call from any of the other applications and a match between the verification data and a verification reference, a trust token to the calling application. A method, electronic device and computer program are also disclosed.

Abstract: A method (600) for fingerprint verification of a user is presented.

Abstract: A method (700) for verifying liveness of a finger (102) of a user by capturing a first fingerprint sample (402) from the finger (102) placed on a display (104) by using a first sensor (106) placed under the display (104). The method (700) may comprise transmitting (702) light, by using a first light transmitting display area of the display (104), towards a first area of the finger (102), wherein the first light transmitting display area (108) is smaller than a first sensor area; capturing (704) reflected light from the finger (102) by the first sensor (104), wherein the reflected light (114) is transmitted through the display (104); and identifying (706) a first feature of the first fingerprint sample (402) by using the reflected light (114), wherein the first feature comprises scattered light from the finger (102), wherein the light transmitted from the display (104) comprises a first light component with a first wavelength from a first area of the display (104).

Abstract: A method (200) for registering a new account of a user of a verification software by using a mobile device (108) equipped with a camera (110) and a display (112). The method (200) may comprise capturing (202) a first image of a front side (702) of a physical ID card (700) by using the camera (110), wherein the physical ID card (700) comprises a text (704), comprising user information, and an ID photo (706) depicting the user's face, extracting (204) the user information from the text (704) and ID face features from the ID photo (706), presenting (206) the user information to the user on the display (112), capturing (208) a reference photo of the user's face by using the camera (110), extracting (210) reference face features from the reference photo, comparing (212) the reference face features and the ID face features, if a match (214) is found, forming (216) a face template by using the reference face features and storing (218) the face template together with the user information.

Abstract: A method for verifying liveness of a finger of a user by capturing a first fingerprint sample from the finger placed on a display by using a first sensor placed under the display. The method may involve transmitting light, by using a first light transmitting display area of the display, towards a first area of the finger. The first light transmitting display area may be smaller than a first sensor area. The first sensor may capture reflected light from the finger. The reflected light may be transmitted through the display. A first feature of the first fingerprint sample may be identified by using the reflected light. The first feature may include scattered light from the finger. The light transmitted from the display may include a first light component with a first wavelength from a first area of the display.

Abstract: A method for updating biometric reference data for a person is provided. The biometric reference data is defined as a multi-template formed by a number of templates each representing an area of an associated biometric object of the person. The method comprises providing at least one template associated with a biometric image that depicts at least one area of a finger of the person. Moreover, the method comprises matching the at least one template to the multi-template of the biometric reference data and in the event of a match, updating the multi-template of the biometric reference data with at least one selected previously matched template stored in a candidate template queue. Furthermore, the method comprises storing the matched template in the candidate template queue.

Abstract: A method (10) for matching a biometric user template to at least one multi template is provided. Each multi template is formed by a group of sub templates each representing an area of an associated biometric object of a person. The method comprises a) determining (11) a first matching score between at least one of the sub templates for at least one of the multi-templates and the user template; b) determining (12) an order of the sub templates based on their first matching score and which multi template they belong to; c) processing (13) at least one of the sub templates successively based on the predetermined order, wherein said processing comprises for each sub template: d) determining (131) a second matching score between the sub template and the user template, e) comparing (132) the second matching score to a threshold score, and g) generating (133) a signal indicating a match if the second matching score is above the threshold score.

Abstract: Various examples related to user specific classifiers for biometric liveness detection are provided. In one example, a method for determining biometric liveness includes extracting features from biometric data from a user; determining a liveness score based upon a comparison of the features to a feature template and a liveness classifier corresponding to the user; and determining biometric liveness of the user in response to a comparison of the liveness score with a liveness threshold. The liveness classifier can be based upon a baseline classifier associated with a group of users and previously obtained biometric enrollment data from the user. In another example, a processor system executes a liveness detection system to extract features from biometric data of a user; determine a liveness score; and determine biometric liveness of the user in response to a comparison of the liveness score with a liveness threshold.

Abstract: A method for updating biometric reference data for a person is provided. The biometric reference data is defined as a multi-template formed by a number of templates each representing an area of an associated biometric object of the person. The method comprises providing at least one template associated with a biometric image that depicts at least one area of a finger of the person. Moreover, the method comprises matching the at least one template to the multi-template of the biometric reference data and in the event of a match, updating the multi-template of the biometric reference data with at least one selected previously matched template stored in a candidate template queue. Furthermore, the method comprises storing the matched template in the candidate template queue.

Abstract: There is provided a method of storing a set of biometric data templates, which emanates from a biometric object, among a plurality of biometric data templates, wherein each biometric data template comprises biometric data from only a part of a biometric object. The method comprises aligning biometric data templates with each other in view of the biometric object of the plurality of biometric data templates which comprises partially overlapping biometric data with at least one other biometric data template; determining the set of biometric data templates to be stored; and storing the set of biometric data templates.

Abstract: Various examples of systems, methods, and programs embodied in computer-readable mediums are provided for fingerprint liveness detection. Fingerprint liveness may be determined by evaluating pixels of a fingerprint image to identify pores along a ridge segment of the fingerprint image. A circular derivative operator can be used to identify the pores. Liveness of the fingerprint can be determined based upon features of the identified pores.

Abstract: There is provided a method of storing a set of biometric data templates, which emanates from a biometric object, among a plurality of biometric data templates, wherein each biometric data template comprises biometric data from only a part of a biometric object. The method comprises aligning biometric data templates with each other in view of the biometric object of the plurality of biometric data templates which comprises partially overlapping biometric data with at least one other biometric data template; determining the set of biometric data templates to be stored; and storing the set of biometric data templates.

Abstract: An apparatus for attaching to an electronic device that includes an electrical connector, a back side, a display arranged on a side opposite to the back side, and lateral sides connecting the back side and the side opposite to the back side includes a first body comprising a back plane arranged to cover at least a part of the backside of the electronic device when attached, an electrical connector arranged to mate the electrical connector of the electronic device when attached, a slot for insertion of a smartcard arranged at the back plane part, the slot comprising electrical contacts for connecting to the smartcard when inserted, and circuitry connected to the electrical connector and the electrical contacts.

Abstract: A method of matching fingerprints is disclosed. The method comprises, for a first minutia point, being assigned as a planet minutia point a) determining pairs including the planet minutia point and a satellite minutia point, respectively, such that a cluster is formed; b) comparing the clusters of the respective sets and excluding nonmatching satellites; c) counting links in the cluster formed by remaining pairs; and d) for remaining satellite minutia points, performing steps a) to c) with respective satellite minutia point assigned as planet minutia point to form a supercluster by iterating steps a) to d) and superadding the clusters; calculating a score of the supercluster based on the aggregate counted links; and comparing the score with a threshold. A biometric matching apparatus, a portable data carrier, a data processing unit comprising a matching apparatus and a computer program for implementing the invention are also disclosed.