Fingerprint Cards Ab

Fingerprint Cards Anacatum IP Ab

Kenneth Jonsson

Eric Setterberg

David Tingdahl

Hamid Sarvé

Hans Thörnblom

Mats Tuneld

Hamid Sarve

Stefan Printz

Alaa Halawani

Chao Chen

The present disclosure relates to a method performed in a fingerprint analysis system for facilitating differentiating between a live finger and a spoof finger. The method comprises acquiring a plurality of time-sequences of images, each of the time-sequences showing a respective finger as it engages a detection surface of a fingerprint sensor. Each of the time-sequences comprises at least a first image and a last image showing a fingerprint topography of the finger, wherein the respective fingers of some of the time-sequences are known to be live fingers and the respective fingers of some other of the time-sequences are known to be spoof fingers. The method also comprises training a machine learning algorithm on the plurality of time-sequences to produce a model of the machine learning algorithm for differentiating between a live finger and a spoof finger.

Differentiating between live and spoof fingers in fingerprint analysis by machine learning

The present invention generally relates to a method for authenticating a finger of a user of an electronic device comprising a fingerprint sensor for sensing a fingerprint pattern, the method comprising the steps of: acquiring a candidate fingerprint image; determining, based on the candidate fingerprint image, a humidity level indication indicative of the humidity level of the finger; performing an authentication pre-process based on the humidity level indication; performing a fingerprint authentication process based on the pre-process to authenticate the user.

Method for authenticating a finger of a user of an electronic device

The present invention generally relates to a method for forming a candidate fingerprint representation of a fingerprint of a finger of a user of an electronic device comprising a capacitive fingerprint sensor for sensing a fingerprint pattern, the method comprising acquiring a sequence of candidate fingerprint images each acquired at different imaging acquisition settings. Further, a fingerprint feature set is extracted from each of the candidate fingerprint images, the fingerprint features of each fingerprint set being extracted according to a first selection criterion. A feature representation set is determined for each of the fingerprint feature sets. A candidate fingerprint representation is formed from a combination of the fingerprint feature representation sets. The invention further relates to a fingerprint sensing system and an electronic device.

Method and device for forming a fingerprint representation

Fingerprint enrollment 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 enrollment data that can be used in subsequent steps in the enrollment procedure.

Guided fingerprint enrollment

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.

Apparatus and computer-implemented method for fingerprint based authentication

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.

Fingerprint authentication using touch sensor data

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.

Fingerprint authentication using stitch and cut

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.

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Kungälv, Sweden

Kenneth Jonsson