A fingerprint image display means displays an input fingerprint image being a fingerprint image which is input and a registered fingerprint image being a fingerprint image which has been registered. A marker acquisition means acquires a position of an input marker which is input by a user with respect to the input fingerprint image being displayed. A marker applying means applies a correspondence marker at a position corresponding to an input marker in the registered fingerprint image. A matching means matches the input fingerprint image to which the input marker is input with the registered fingerprint image to which the correspondence marker has been applied.

Methods for augmenting a training image base representing a print on a background, for training parameters of a convolutional neural network, CNN, or for classification of an input image The present invention relates to a method for augmenting a training image base representing a print on a background, characterized in that it comprises the implementation, by data processing means (11) of a server (1), of steps of: (b) For at least a first image of said base, and a ridge map of a second print different from the print represented by said first image, generation by means of at least one generator sub-network (G.sub.B, G.sub.M, G.sub.LT) of a generative adversarial network, GAN, of a synthetic image presenting the background of said first image and representing the second print.

A biological pattern information processing device includes: a biological pattern information acquisition unit that acquires biological pattern information indicating a biological pattern; and a singular region detection unit that detects a singular region including damage, from the biological pattern indicated by the acquired biological pattern information.

A terminal for checking a security request level of a fingerprint verification request is provided. The terminal includes a fingerprint recognition sensor configured to acquire a fingerprint image; and a controller configured to check a security request level of a fingerprint verification request when the fingerprint verification request is received, to determine an verification level depending on the security request level, and to perform fingerprint verification in a manner corresponding to the verification level by using the fingerprint image. The controller controls the fingerprint recognition sensor to acquire a fingerprint image of a first level when the security request level is less than or equal to the security request level of a previous verification request that has been completed before the fingerprint verification request, and an elapsed time from the previous verification request is within a threshold time.

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 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.

A fingerprint processing device includes a match processing unit configured to determine, based on a first degree, a plurality of feature points having a large value of the first degree among the feature points of a fingerprint specified in a fingerprint image of a matching source, the first degree representing a first distance to other feature points, as representative feature points used in match processing of the fingerprint.

A texture recognition device and a display device are provided. The texture recognition device includes a backlight element, configured to provide first backlight; a light constraint element, configured to perform a light divergence angle constraint process on the first backlight to obtain second backlight with a divergence angle within a preset angle range, the second backlight being transmitted to a detection object; and a photosensitive element, configured to detect the second backlight reflected by a texture of the detection object to recognize a texture image of the texture of the detection object.

An input sensing circuit includes a plurality of sensors to sense a touch event and to recognize a fingerprint. Among the sensors, at least one sensor includes two transistors and one capacitor. One electrode of electrodes of the capacitor makes contact with a finger of a person to form a capacitance, and the input sensing circuit senses the capacitance to sense the touch event and to recognize the fingerprint.

This invention provides a device fingerprint extraction method based on smart phone sensor, which comprises the following steps: Step I: Data acquisition; Step II: Data preprocessing; Step III: ADC value recovery; Step IV: Gain matrix estimation; Step V: Validity check; Step VI: Device fingerprint ID generation. This invention can accurately extract the device fingerprint and can uniquely identify device when the device fingerprint ID doesn't change when certain devices are sampled for ex-factory setting recovery, machine upgrade and time point testing.