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.

A gesture recognition system and a gesture recognition method are provided. The gesture recognition system includes a fingerprint sensor and a processing circuit. The processing circuit obtains a first fingerprint image and a second fingerprint image through the fingerprint sensor. The processing circuit obtains a plurality of first coordinate parameters of a plurality of first coordinate points in the first fingerprint image, and obtains a plurality of second coordinate parameters of a plurality of second coordinate points in the second fingerprint image. The first coordinate points of the first fingerprint image and the second coordinate points of the second fingerprint image respectively have a plurality of grayscale values corresponding to each other. The processing circuit determines a gesture operation according to the first coordinate parameters and the second coordinate parameters.

A device and a method for contactless fingerprint acquisition is provided. The contactless fingerprint acquisition device includes a housing including a finger scanning area for at least one finger; at least two image capturing devices located in the housing and arranged in a predetermined baseline distance, each image capturing device having an optical axis in a predetermined angle with the vertical direction; and, a lighting unit in the housing for illuminating the at least one finger. The at least two image capturing devices are operable to acquire a plurality of partial fingerprint images of the at least one finger, and the plurality of partial fingerprint images correspond to different portions of the at least one finger.

The present technology relates to a fingerprint authentication device, a fingerprint authentication method, and a program capable of efficiently perform registration of fingerprint information or authentication of a fingerprint. A presentation image that presents a position of a fingernail root at the time of detecting the fingerprint is generated, and an image of the fingerprint is obtained using the generated presentation image. The present technology may be applied to, for example, a smartphone-type device, a wristband-type device, a tablet terminal, and the like.

This disclosure describes a user-recognition system that may perform one or more verification methods upon identifying a previous image that matches a current image of a palm of a user. For instance, the user-recognition system may perform the verification method(s) as part of the recognition method (e.g., after recognizing a matching image), in response to an audit process, in response to a request to re-analyze the image data (e.g., because a user indicates that he or she was not associated with a particular purchase or shopping session), and/or the like.

A fingerprint verification method and apparatus is disclosed. The fingerprint verification method may include obtaining an input fingerprint image, determining a matching region between the input fingerprint image and a registered fingerprint image, determining a similarity corresponding to the matching region, representing a determined indication of similarities between the input fingerprint image and the registered fingerprint image, relating the determined similarity to the matching region as represented in a matching region-based similarity, determining a result of a verification of the input fingerprint image based on the matching region-based similarity, and indicating the result of the verification.

A processor-implemented method with input data classification includes: extracting an input embedding vector including a feature of biometric information of a user from input data including the biometric information; determining an adaptive embedding vector adaptive to the input embedding vector, based on a combination of a plurality of enrollment embedding vectors that are based on enrollment data; and classifying the input data based on a similarity between the input embedding vector and the adaptive embedding vector.

Implementing fingerprint authentication during a swipe motion on a display.

Electronic equipment includes a display and an optical fingerprint sensor. The display includes a display surface including light-emitting pixels in an array in a first direction and a direction intersecting the first direction. The optical fingerprint sensor includes as imaging element including light-receiving elements in an array in the first direction and the 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 each of the light-receiving elements transfers a photoelectrically converted charge at the same timing.

Method for forming an enrolled fingerprint template for a user of a fingerprint touch sensor. The method comprising: during a touch event in which a finger of the user is placed on the fingerprint sensor, capturing a plurality of images of the finger and comparing two of the images to determine if there is a valid transformation. If there is no valid transformation, images are compared against image quality and coverage thresholds to determine if any of the captured images are to be used for enrollment.

A fingerprint authentication device includes: a sensor unit configured to output a sensing signal by sensing a fingerprint; an image processing unit configured to generate a fingerprint image based on the sensing signal; a storage unit configured to store a template including an enrolled image; and a learning unit configured to generate a first pseudo image and add the first pseudo image to the template.