Abstract: An optical identification method for sensing a physiological feature, includes: projecting light to a physiological portion for generating reflection light from the physiological portion; receiving the reflection light, to generate an image; generating slant pattern information according to the image; transforming the slant pattern information into a pattern identification matrix; and determining the physiological feature according to the pattern identification matrix.

Abstract: An optical identification method, includes: projecting light on a finger to generate reflected light from the finger; receiving the reflected light by a pixel sensing array to obtain a plurality of finger images; and determining whether the finger images present a liveness characteristic, according to a required exposure time or average brightness of the finger images obtained by the pixel sensing array. When the finger images present the liveness characteristic, the optical identification method further includes: determining identification information according to the finger images; or when the finger images do not present the liveness characteristic, the optical identification method further includes: not determining identification information according to the finger images, and optionally, stopping the pixel sensing array from obtaining a subsequent finger image.

Abstract: An optical identification method, includes: projecting light on a finger to generate reflected light from the finger; receiving the reflected light by a pixel sensing array to obtain a plurality of finger images; and determining whether the finger images present a liveness characteristic, according to a required exposure time or average brightness of the finger images obtained by the pixel sensing array. When the finger images present the liveness characteristic, the optical identification method further includes: determining identification information according to the finger images; or when the finger images do not present the liveness characteristic, the optical identification method further includes: not determining identification information according to the finger images, and optionally, stopping the pixel sensing array from obtaining a subsequent finger image.

Abstract: An optical identification method for sensing a physiological feature, includes: projecting light to a physiological portion for generating reflection light from the physiological portion; receiving the reflection light, to generate an image; generating slant pattern information according to the image; transforming the slant pattern information into a pattern identification matrix; and determining the physiological feature according to the pattern identification matrix.

Abstract: The present invention provides an image brightness non-uniformity correction method and an image brightness correction device therefor. The image brightness non-uniformity correction method includes the steps of: (A) generating an initial input image having pixels arranged in a matrix, wherein each pixel has a corresponding pixel brightness and the initial input image has non-uniform brightness; (B) performing a pre-processing procedure on the initial input image, to generate a pre-processed image; (C) performing an image gradient correction procedure on the pre-processed image, to eliminate non-uniformity of the brightness of the initial input image; and (D) outputting an output image having an uniformity-processed brightness.

Abstract: A real-time heart rate detection method for use in a real-time heart rate detection system includes: (A) emitting light to a finger to generate reflected light; (B) receiving the reflected light via a sensing unit, to generate at least one initial fingerprint image; (C) generating plural initial waveform information according to the at least one initial fingerprint image; (D) selecting one among plural different bandpass filters, to filter the initial waveform information; (E) calculating an initial heart rate based upon the filtered initial waveform information; (F) checking and computing a frequency range of the obtained initial heart rate, to determine which one of the plural bandpass filters is the most preferable bandpass filter; (G) outputting a final heart rate; and repeating the step (A) to the step (G). The step (G) and the step (F) are performed at least partially in parallel.