Method for retrieval and matching of hand back vein characteristic used for identification of status
A feature extraction and identification technology, applied in the field of computer processing, biometric identification based on decision-level fusion, can solve the problems of reduced possibility of successful comparison, blurring, and damaged fingerprint images
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[0038] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments:
[0039] The method for feature extraction and matching identification of dorsal hand veins of the present invention collects images through a specially developed vein collection device, and then normalizes the size and gray level of the vein images, enhances the vein images, and performs threshold-based image detection on the images. After image segmentation, image denoising, thinning and other preprocessing, the features based on vein geometry, feature moment-based and K-L compression transform features are extracted, and finally, a decision-level fusion-based method is used to analyze the various features. The recognition results are fused to give the recognition results. The method of the present invention contains the following steps:
[0040] (1) Collection of the dorsal vein of the hand
[0041] According to the characteristics...
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