Disclosed is a wearable device. The wearable device includes a depth sensor configured to 3-dimensionally sense a user's hand and to generate 3D scan information, a finger recognition unit configured to sense skin lines of user's fingers and to generate pattern information, an image processor configured to generate a 3D model of the user's hand based on the 3D scan information and to add a pattern representing the skin lines of the user's fingers to the 3D model based on the pattern information, and a key determination unit configured to, when the finger recognition unit senses a user's key input motion, generate an input value matching the key input motion, and the finger recognition unit senses the key input motion by comparing the sensed skin lines of the user's fingers with the pattern added to the 3D model.

The present disclosure provides a signal conversion circuit and fingerprint identification system. The signal conversion circuit is configured to generate a first digital signal according to a first analog signal, and includes a comparator and counter. The comparator includes a first input terminal configured to receive the first analog signal, a second input terminal connected to a reference voltage generator and configured to receive a reference voltage, and an output terminal configured to output a second digital signal. The counter is connected to the output terminal, and is configured to generate a first digital signal. The signal conversion circuit according to the present disclosure has the advantages of simple circuit structure, small circuit area, low cost and low power consumption.

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 method and an apparatus for providing a connection between electronic devices using authentication based on biometric information are provided. The electronic device includes: a first communication circuit to support NFC; a second communication circuit to support non-NFC; a biometric sensor; a memory to store first authentication information corresponding to an external device; and a processor. The processor is configured to: acquire connection information related to a connection with the external device from the external device using the first communication circuit in response to NFC tagging between the electronic device and the external device; establish a communication connection with the external device using the second communication circuit based on at least the connection information; receive a request for authentication information from the external device in response to the communication connection being established; acquire biometric information corresponding to a user of the electronic device using the biometric sensor in response to the request; authenticate the user based on at least the biometric information; when the authenticating succeeds, generate second authentication information based on at least the first authentication information; and transmit the second authentication information to the external device.

The present invention generally relates to a method for transitioning a device controller comprised with an electronic device from an at least partly inactive mode to an at least partly active mode, the electronic device further comprising a pre-processing module and a fingerprint sensor configured to acquire image data. The invention also relates to a corresponding electronic device and to a computer program product.

Embodiments of apparatuses and methods for detecting a spoof finger are disclosed. In one embodiment, an ultrasonic fingerprint sensor comprises an ultrasonic transmitter configured to transmit an ultrasonic wave to a finger, an ultrasonic sensor array configured to receive a reflected ultrasonic wave from the finger, and a controller configured to determine a reflected acoustic energy of the finger based on a difference between average amplitudes of the reflected ultrasonic wave from ridges and valleys of the finger; and determine whether the finger is a spoof based at least in part on the reflected acoustic energy of the finger.

The present invention provides a new method and a device for the contactless human identification using biometrics images. The present invention develops a robust feature extraction algorithm to recover three-dimensional (3D) shape information from biometrics images. Further, it provides significantly improved performance than what is possible from the state-of-art methods, adding practicality for real applications on mobile platform, smartphones, and also as add-on system for conventional fingerprint system. The present invention's unique advantages are based on its computational simplicity, efficient matching and requiring least storage. Experiments were conducted to confirm very high accuracy and reliability on a number of biometric modalities including iris, palmprint, and finger knuckle images.

To extract a fingerprint core for alignment of a fingerprint image for fingerprint matching. The present invention comprises: a core extraction unit which has an endpoint processing function of generating an endpoint image by extracting bifurcations in skeleton image and subjecting the respective bifurcations to endpoint processing; and a skeleton image generation/extraction unit which extracts skeletons of a density-inverted image formed by inverting the density colors of the generated end point image from white to black and vice versa, and performs processing for generating the skeleton image, the core extraction unit being provided with a core determination function of specifying a skeleton pixel having the highest value of a loop score indicating the degree of a bend in a skeleton shape in the density-inverted image, and defining this skeleton pixel as the finger print core.

A method for detecting a finger at a fingerprint sensor includes detecting a presence of an object at a fingerprint sensor and, in response to detecting the presence of the object, acquiring image data for the object based on signals from the fingerprint sensor. The method further includes, for each subset of one or more subsets of the image data, calculating a magnitude value for a spatial frequency of the subset, and identifying the object as a finger based on comparing the magnitude value to a threshold.

A fingerprint identification substrate, a fingerprint identification method and a display device are provided. The fingerprint identification substrate includes a base substrate, a transmitting part and a receiving part provided on the base substrate, and a fingerprint detector. At least a portion of the transmitting part and at least a portion of the receiving part may be provided in a single layer. The transmitting part is configured to generate an ultrasonic signal. The receiving part is configured to receive the ultrasonic signal reflected by a finger, convert the ultrasonic signal into an electric signal, and output the electric signal to the fingerprint detector. The fingerprint detector is configured to determine fingerprint information according to the electric signal output from the receiving part.