The invention relates to a biometric sensing system, comprising: a light emitter, a polarization sensor, and a signal processing module, wherein the polarization sensor includes a first polarizer and a second polarizer. First, the light emitter emits a plurality of emitted light from the object under sensing, and reflected by the object. Then, a first reflected light in a first polarization direction and a second reflected light in a second polarization direction in the reflected light are sensed by the polarization sensor. Finally, the signal processing module calculates a first reflectance and a second reflectance according to the first reflected light and the second reflected light, and generate a reflectance ratio based on the first reflectance and the second reflectance. As such, the user determines whether the surface of the object under sensing is 3D by the reflectance ratio, so as to achieve improving safety and saving costs.

The invention relates to a fingerprint recognition system. The fingerprint recognition system includes a light emitter, an optical receiver, and a comparison module. First, the light emitter emits at least one patterned emitted light to an object to be measured, and the patterned reflected light reflected by the object is received by the light receiver. Then, the patterned emitted light and the patterned reflected light are compared with each other and the comparison information is generated by the comparison module. Finally, when the comparison information is in the three-dimensional comparison interval, the surface of the object to be measured is determined to be three-dimensional; otherwise, the surface of the object to be measured is determined to be flat. Therefore, the fingerprint recognition system of the present invention can achieve the purposes of real-time differentiation and wide applicability.

Provided is a data transmission system including analog image frame buffer, line analog-to-digital converter, line buffer memory, and an interface. First, the analog image frame buffer stores the image data lines generated from the image sensor as analog signals, and then the line analog digital converter which is electrically connected to the analog image frame buffer converts the image data lines from analog signals to digital signals. Then, the image data lines converted into digital signals are stored in one of the line buffer memories. Then, according to the user's needs, the image data line of the digital signal is temporarily stored in another line buffer memory. Finally, according to the instructions of the master device, the interface outputs the image data lines of digital signals according to the conversion order of the line analog to digital converter.

A sensor and method for sleep position detection including: a transmitter configured to transmit electromagnetic waves between 30 GHz and 300 GHz; a receiver configured to receive the electromagnetic waves from the transmitter, wherein the transmitter and receiver are positioned in relation to person sleeping such that the receiver receives reflected electromagnetic waves; and a control station configured to analyze the transmitted and received electromagnetic waves to determine a position of the person sleeping. In some cases, the method may include: forming a radar cube of results; performing a fast fourier transform (FFT) on the radar cube; applying a constant false alarm rate (CFAR) processor to the FFT data; determining a capon gradient; forming a 5-dimensional feature space based on the capon gradient; and conducting an optimization of SVM.

In some embodiments, a device includes a light-emitting display, and an optical emitter positioned behind the light-emitting display. The optical emitter is configured to emit light through the light-emitting display. A processor is configured to synchronize a first illumination timing of the optical emitter and a second illumination timing of the light-emitting display. In some embodiments, a device includes an optical transceiver processor and a display processor. The display processor is configured to output timing information to a light-emitting display and to the optical transceiver processor, and the optical transceiver processor is configured to cause an optical transceiver to emit or receive light in synchronization with the timing information output by the display processor.

Embodiments of the present invention disclose a non-contact 3D fingerprint capturing apparatus and method. The apparatus includes: a housing, a circuit board and a fingerprint reader that are disposed in the housing; the circuit board includes a first control module; the fingerprint reader includes a fingerprint capturing module and a positioning module; the positioning module casts light to a first position point on a finger object; the fingerprint capturing module receives light reflected from the first position point, converts an optical signal into an electrical signal, and sends the electrical signal to the first control module; the first control module judges, according to the electrical signal, whether the first position point is a standard point, the standard point being an aperture with a diameter less than a first threshold and an illumination intensity greater than a second threshold; if the first position point is a standard point, the fingerprint capturing module captures fingerprint images from multiple directions, and transmits the fingerprint images to the first control module; and the first control module creates a 3D fingerprint image according to the fingerprint images. The embodiments of the present invention further provide a non-contact 3D fingerprint capturing method.

In some examples, a method includes determining, by a computing device, a plurality of regions of interest of an image for independently processing relative to a plane of interest; determining, by the computing device and for respective regions of interest of the plurality of regions of interest, a distance from objects within the respective regions of interest to the plane of interest; and processing, by the computing device and independently for the respective regions of interest, the respective regions of interest of the image based on the determined distance from the objects to the plane of interest.

A method of collecting biological material with the help of a mobile terminal, the method including the following steps: acquiring a first image and extracting a first candidate biometric dataset therefrom; comparing the candidate biometric dataset with reference biometric datasets and determining similarity scores; comparing the similarity scores with a first predetermined threshold; and when none of the similarity scores is greater than the first predetermined threshold, proceeding to collect biological material from the first dermatoglyph.

A signal detection method applied in an electronic device includes: resetting each optical sensor at a first time point; collecting a first signal output by the optical sensor at the first time point, a second signal output by the optical sensor at a second time point, a third signal output by the optical sensor at a third time point, and a fourth signal output by the optical sensor at a fourth time point; obtaining a first difference value between the first signal and the second signal and a second difference value between the third signal and the fourth signal, and determining a sum of the first difference value and the second difference value as a signal variation amount in a current cycle. Also disclosed are an associated electronic device and a non-transitory computer readable storage medium.

The present invention relates to a method to segment slap images and to generate accurately labelled individual fingerprints, said method comprising the following steps: reception of inputs images from a contactless fingerprint reader under controlled lighting conditions; computation of a variance in the received images to estimate a slap area as a foreground slap mask in the input images; identification of individual fingers by finding boundary of each finger; verification of a number of fingers and of geometric constraints; calculation of pose and orientation based on shape and geometry information; identification of effective fingertip area on each detected finger according the pose, orientation, as well as geometric information; output of individual fingerprints.