Abstract:
A method of authenticating a candidate fingerprint by means of an electronic device comprising a touch sensor; and a fingerprint sensor. The method comprises the steps of: acquiring at least one touch sensor signal indicative of a sub-area of the touch sensor being touched by the candidate finger; acquiring at least one fingerprint image of the candidate fingerprint; retrieving a stored enrollment representation of the enrolled fingerprint of the enrolled finger; determining an authentication representation of the candidate fingerprint based on the fingerprint image; and determining an authentication result based on the authentication representation, the stored enrollment representation, and the at least one touch sensor signal.
Abstract:
The present invention concerns a method, a system, a device of authenticating a user using a body part including biometric information. The method comprises stitching partial enrolment images comprising different views of the user's body part into at least one mosaic and thereby creating an enrolled image, acquiring an authentication image of the body part, wherein the size of the authentication image is a fraction of the enrolled image, determining at least one area of interest in the enrolled image, and matching the authentication image with image data of the determined area of interest in the enrolled image.
Abstract:
A computer-implemented method of performing fingerprint based authentication from matching local features represented by binary features which can be matched in an efficient implementation in one or both of software and hardware by computing Hamming distances between the binary features. A local feature in a verification image is said to be matching with a local feature in an enrolment image if the Hamming distance between the binary features falls below a pre-determined threshold. The computer-implemented method retains information about the similarity of local features in the two images and utilities it in an efficient way with the objective of improving fingerprint recognition rates and enabling finger liveness detection. In an aspect a normalized feature similarity distribution is generated as part of the representation in recognition and liveness detection.
Abstract:
A computer-implemented method of performing fingerprint based authentication from matching local features represented by binary features which can be matched in an efficient implementation in one or both of software and hardware by computing Hamming distances between the binary features. A local feature in a verification image is said to be matching with a local feature in an enrolment image if the Hamming distance between the binary features falls below a pre-determined threshold. The computer-implemented method retains information about the similarity of local features in the two images and utilities it in an efficient way with the objective of improving fingerprint recognition rates and enabling finger liveness detection. In an aspect a normalized feature similarity distribution is generated as part of the representation in recognition and liveness detection.
Abstract:
The present invention concerns a method, a system, a device for enrolling biometric data of a body part to be used for user authentication, using a two-dimensional sensor. The method comprises capturing, using the two-dimensional sensor, images representing different views of the body part, stitching the images into at least one mosaic, generating at least one constructed image by determining at least one area of interest in the mosaic, the area of interest representing an additional view of the body part, and extracting image data of the area of interest, and enrolling the constructed images in a set of templates to be used for user authentication.
Abstract:
Fingerprint enrolment is described. An initial procedure in which the appropriate area of the finger is determined from the size of a user's finger, followed by a guidance procedure where guidance information is provided in a pseudo random manner and further fingerprint data is obtained during the pseudo random guidance. When the appropriate area of the finger has been covered, fingerprint data is used in a calculation of fingerprint enrolment data that can be used in subsequent steps in the enrolment procedure.