Abstract: An image sensing method, applicable to the anti-spoofing recognition of under screen optical fingerprint sensing, is provided, including: dividing the image sensor into sensing blocks, dividing the display area of the display device correspondingly according to the sensing area, and the display area including the light-emitting area; defining the luminous color of each display area and the color coordinate value of each luminous color; each sensing block sensing the light intensity of the image reflected to the sensing block from the display block emitting the light onto the reference object and the test object to be measured; calculating the anti-spoofing reference color information of the reference object and registering in the system; when sensing the fingerprint image, first obtaining the light intensity of each block, then calculating the color information of the test object; and finally, comparing the color information with the registered anti-spoofing reference color information.

Abstract: The invention relates to a drive sensing structure, applicable to an environment of an organic light-emitting display device. The driving sensing structure includes: an organic diode, a driving circuit, a sensing circuit, and a voltage maintaining circuit; wherein, the driving circuit is used to receive a control signal and generate a corresponding voltage signal to drive the organic diode to emit light stably. The sensing circuit is used to convert a sensing voltage generated by the organic diode after receiving the light source into an image electrical signal. The voltage maintaining circuit is used to adjust the voltage signal of the driving circuit to prevent the voltage signal of the driving circuit from drifting. Thereby, the bidirectional organic light-emitting display device can be used not only as a light-emitting element, but also as a sensor for fingerprint image recognition, palmprint recognition, and touch function, thereby achieving the purposes of cost reduction and wide applicability.

Abstract: Provided is an identification method for an identification system, which includes a sensing area and an image sensor. First, a test object is close to the sensing area, so that the image sensor generates a dynamic image. Next, the test object gradually pressurizes the sensing area. Then, the test object completely covers the sensing area, and the image sensor further produces a perspective image. Finally, an identification module is used to determine whether the dynamic image is a biological image according to the perspective image, and to perform a subtraction operation on the dynamic image as a basis to determine whether to unlock the identification system. Therefore, the identification system and the identification method can achieve a real-time determination on whether the dynamic image is a biological image. Also, the identification method greatly improves the false acceptance rate (FAR) and the false rejection rate (FRR) of the identification system.

Abstract: The invention relates to an image sensor, including a substrate, a unit pixel, a first polarizer, a second polarizer, and readout circuit. First, incident light is emitted to the image sensor, and the first and second polarizers convert incident light into first and second incident lights respectively. Then, the photoelectric conversion element of the unit pixel covered by the first and second polarizers respectively generates first and second electrons after receiving the first and second incident lights respectively. Afterwards, the readout circuit performs subtraction and integral of the first electron and the second electron to generate a voltage signal corresponding to the number of electrons in the actual signal. Finally, repeat the above steps. Thereby, the image sensor of the invention effectively increases the full well capacity of the equivalent unit pixel, so as to improve the signal-to-noise ratio of the image sensor of the invention.

Abstract: 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.

Abstract: 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.

Abstract: 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.