Fingerprint Cards Ab

Eaton Corporation

Fingerprint Cards Anacatum IP Ab

Zenseact Ab

David Tingdahl

Kenneth Jonsson

Eric Setterberg

Carsten Juncker

Erik Stenborg

Hamid Sarvé

Hamid Sarve

David Samuelsson

Harald Kjellson-freij

Niels Mørch

A method for calibrating a set of extrinsic parameters of a camera mounted on a vehicle is disclosed. The method includes: obtaining a sequence of images, wherein each image depicts a portion of a surrounding environment of the vehicle determining a set of feature points in the sequence of images; determining an area representing a sky in the sequence of images; removing a subset of feature points belonging to the area representing the sky, thereby forming an updated set of feature points; determining a first motion trajectory of the vehicle based on the updated set of feature points; obtaining a second motion trajectory of the vehicle which is based on motion data obtained from other sensors of the vehicle; and calibrating the camera by adjusting the set of extrinsic parameters of the camera based on a difference between the first motion trajectory and the second motion trajectory.

Method and device for calibrating a camera mounted on a vehicle

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

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

The present invention relates to a method of enrolling a fingerprint of a user's finger, by means of an electronic device comprising a touch sensor having an active area corresponding to a first surface portion of the electronic device; and a fingerprint sensor having an active area corresponding to a second surface portion of the electronic device. The comprises the steps of acquiring a touch sensor signal indicative of a sub-area of the touch sensor being touched by the finger; acquiring a partial fingerprint image of a portion of the fingerprint; a positional relationship between the portion of the fingerprint and the finger based on the sub-area and a positional relationship between the first and second surface portions of the electronic device; and forming a fingerprint template based on acquired partial fingerprint images and the determined positional relationships.

Fingerprint enrollment using touch sensor data

In a fingerprint sensing system, a determination is made of a center of attention, COA, point. The COA point is a point on a finger of a user that is likely to be in proximity of the center of a fingerprint image of the finger obtained by a fingerprint sensor. This COA determination is used in guiding the user in a fingerprint enrolment procedure.

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Mölndal, Sweden

David Tingdahl