Harris corner detection image pyramid palmprint roi recognition method
A corner point detection and recognition method technology, applied in character and pattern recognition, acquisition/organization of fingerprints/palmprints, instruments, etc., can solve the problems of low algorithm efficiency and easy to produce false matching.
Active Publication Date: 2021-01-22
XIDIAN UNIV
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[0003] To sum up, the problems existing in the prior art are: traditional palmprint ROI image matching is prone to error matching, and the algorithm efficiency is low
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[0065] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0066] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0067] Such as figure 1 As shown, the Harris corner detection image pyramid palmprint ROI recognition method that the embodiment of the present invention provides comprises the following steps:
[0068] S101: Input and record a palmprint ROI image and a template palmprint ROI image, and perform MFRAT filter processing on these two images;
[0069] S102: For the filtered template palmprint ROI image, use the Harris corner detection algorithm to extract the corner points distributed on...
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The invention belongs to the technical field of digital image processing, and discloses a Harris corner detection image pyramid palmprint ROI recognition method, comprising: inputting and entering a palmprint ROI image and a template palmprint ROI image, and performing MFRAT filtering on the two images Processing; for the template palmprint ROI image after filtering, use the Harris corner detection algorithm to extract the corner points distributed on the main line and folds of the palmprint and only keep one corner point in the small area; according to the template palmprint ROI image after filtering The corner points on the fingerprint ROI image are obtained by using the image pyramid algorithm to obtain the corner points distributed on the filtered input palmprint image; the final matching score is obtained by the average BLPOC algorithm from the known corner point distribution; the fixed threshold is set through experiments , if the matching score is greater than the threshold, the palmprint is considered a true match, otherwise it is a false match. The invention can accurately match the ROI of the palmprint image.
Description
technical field [0001] The invention belongs to the technical field of digital image processing, in particular to a Harris corner detection image pyramid palmprint ROI recognition method. Background technique [0002] Biometric technology can well solve the shortcomings of traditional identification technology. Palmprint recognition technology stands out among biometric recognition technologies due to its advantages of easy collection, low equipment cost, abundant available information, and good matching performance, and has a very broad application prospect. At present, texture-based palmprint recognition and matching methods have good matching performance; palmprints contain rich texture information, such as palmprint main lines, folds, forks, and so on. The main idea of the texture-based palmprint recognition method is to encode the direction of the intercepted palmprint ROI image to extract the most significant feature of each pixel. During the process of palmprint c...
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IPC IPC(8): G06K9/00G06K9/32G06K9/62
CPCG06V40/1347G06V40/1365G06V10/25G06V10/751
Inventor 庞辽军王华赵恒肖凯赵伟强曹凯
Owner XIDIAN UNIV