Method for determining image reconstruction parameters in an optical biometric imaging device comprising a plurality of microlenses forming a microlens array and an image sensor arranged to receive light having passed through the microlenses, the method comprising: by the image sensor, capturing a plurality of sub-images together representing an image of a biometric object in contact with a sensing surface of the biometric imaging device, each sub-image corresponding to a respective microlens; and determining a demagnification factor based on at least a subset of the plurality of sub-images.

An electronic circuit adapted to drive a panel including a plurality of fingerprint sensing zones is provided. The electronic circuit includes a fingerprint sensing circuit. The fingerprint sensing circuit is configured to determine at least two fingerprint sensing zones to perform a fingerprint sensing operation according to a touch area and receive a fingerprint sensing signal corresponding to fingerprint sensing data from the at least two fingerprint sensing zones. The fingerprint sensing circuit rearranges the fingerprint sensing data from the at least two fingerprint sensing zones. In addition, an electronic device and a method for sensing a fingerprint image are also provided.

Fingerprint authentication is realized during a swipe operation of a display. An electronic device includes a display, an optical fingerprint sensor, and an information processing unit. The display includes a display surface having light emitting pixels in an array in a first direction and a second direction intersecting the first direction. The optical fingerprint sensor includes an imaging element having light receiving elements in an array in a first direction and a second direction on a side opposite to the display surface of the display in a third direction intersecting the first direction and the second direction, and acquires fingerprint information of fingerprint moving in contact with the display. The information processing unit acquires corrected fingerprint information from the fingerprint information acquired by the optical fingerprint sensor.

A fingerprint sensing device comprises a substrate and an array of sensor cells formed over the substrate. The sensor cells are divided into multiple groups. Each group is associated with a group-identifiable signal. The sensor cells in each group are configured to transmit the group-identifiable signal of the respective group and are further configured to simultaneously receive the group-identifiable signals transmitted by the sensor cells in other groups. The group-identifiable signals are orthogonal with respect to each other.

An emulation system receives a swipe along a finger sensor to set a computer display in motion. After the swipe is completed, the display continues along its previous path. Depending on their direction, subsequent swipes can be used to accelerate or decelerate the motion. Gradually, the display decelerates. In one embodiment, this deceleration simulates an inertial decay, providing the user with a pleasing display that gradually rolls to a stop. The deceleration is modeled on a joystick return-to-home inertial decay, allowing the user greater control when navigating over the display. The finger sensor is used to emulate different electronic devices, such as a mouse, a scroll wheel, and a rotating wheel.

A touch screen, now incorporated in most smart phones, presents an effective and transparent method to incorporate continuous active user verification schemes. The projected capacitive grid structure can be used to capture information, such as from the user's fingerprint. This information may be used to verify the user, or that a valid user currently has possession of the mobile device, even while the user is not consciously engaged in an active verification interface. Further processing, such as habitual gesture recognition, can augment the process.

An image acquisition apparatus, a terminal device, a liquid crystal terminal device and an image acquisition method are provided according to the disclosure. The image acquisition apparatus includes an imaging plate and an image sensor disposed to be spaced apart from one side of the imaging plate. The imaging plate is provided with an imaging pinhole corresponding to the image sensor. The liquid crystal terminal device includes an LCD panel and a backlight element. The image acquisition apparatus is disposed at a position corresponding to the LCD panel within the backlight element. The image acquisition method includes acquiring an image of an object to being scanned by the image sensor through the imaging pinhole at a side of the imaging panel. An ultrathin fingerprint scanner can be formed based on pinhole imaging principle in the disclosure, and can be further combined with an LCD screen to accomplish fingerprint acquisition function. Alternatively, an ultrathin image acquisition device can be formed to acquire an image of a general object. This can significantly reduce the size and thickness of an image acquisition module in the device and greatly facilitate the implementation of mobile devices and embedded devices with an image acquisition function.

A method, a device, and computer-readable medium are provided for verifying an identity of a user, which pertains to computer technology. In some aspects, the method includes generating a dynamic fingerprint while the user moves a finger along a trajectory of movement in a fingerprint collection area of a fingerprint reader, and comparing the dynamic fingerprint with a referential fingerprint. The method also includes verifying the identity of the user based on the comparison, and generating a report indicating the identity verified.

Embodiments of an automated method of processing fingerprint images, identity information is extracted from prints typically classified as having “no identification value” because of sparse or missing minutiae by capturing ridge contour information. Bezier approximations of ridge curvature are used as Ridge Specific Markers. Control points arising from Bezier curves generate unique polygons that represent the actual curve in the fingerprint. The Bezier-based descriptors are then grouped together and compared to corresponding reference print Ridge Specific Marker data. The method makes it possible to fuse a plurality of individual latent print portions into a single descriptor of identity and use the resulting data for comparison and identification. Processing of poor quality reference prints according to the methods disclosed renders these prints useable for reference purposes.

Provided in a fingerprint image preprocessing method including receiving an input fingerprint image, performing a short-time Fourier transform (STFT) on the input fingerprint image to obtain a transformed fingerprint image, comparing the input fingerprint image and the transformed fingerprint image, and generating a combined image by combining the input fingerprint image and the transformed fingerprint image based on a result of the comparing.