Detection algorithm for mirror surface foreign matters of finger vein equipment
A detection algorithm, finger vein technology, applied in computing, computer parts, subcutaneous biometrics, etc., can solve the problems of increasing false recognition rate and foreign objects in finger vein equipment, and achieve the goal of reducing false recognition rate, eliminating fixed noise, reducing Effects of security risks
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[0036] A detection algorithm for foreign matter on the mirror surface of a finger vein device, the algorithm is implemented by the following steps:
[0037] Step S1: using the finger vein device to collect M finger vein images of the user;
[0038] Step S2: Perform normalization processing on each of the collected finger vein images;
[0039] Step S3: performing multi-scale Gaussian filtering on each finger vein image after normalization processing;
[0040] Step S4: For each finger vein image after Gaussian filtering, subtract the Gaussian filtering results of adjacent scales to obtain N noise images corresponding to each finger vein image, and the noise size contained in the N noise images vary;
[0041] Step S5: Perform multi-directional filtering on each noise image, thereby obtaining a binary image in which finger vein information is filtered and noise is retained;
[0042] Step S6: sort the N binary images corresponding to each finger vein image in ascending order of ...
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