Finger vein recognition method
An identification method and finger vein technology, applied in the field of finger veins, can solve the problems of low definition of vein images, the performance of identification algorithms, image rotation, translation, and the influence of noise, and achieve the effects of high-precision acquisition and improved identification accuracy.
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[0017] The invention provides a human finger vein recognition method with precise recognition.
[0018] Specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention.
[0019] refer to figure 1 , figure 1 It is a feature extraction flow chart of an embodiment of the finger vein recognition algorithm; as Figure 1 As shown, the extraction method includes steps S1 to S7.
[0020] In step S1, the currently collected finger vein image is obtained, the edge in the vertical direction is detected by calculating the gradient in the horizontal direction of the grayscale image, and the edge in the horizontal direction is detected by calculating the gradient in the vertical direction of the grayscale image;
[0021] In step S2, the gray value of the effective information is more concentrated, and the effective interval span is less than 0-255, using the formula Perform linear normalization processing;
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