Dual-Gabor palm print ROI matching method based on specific expanded eight neighborhoods

A matching method and eight-neighborhood technology, applied in matching and classification, acquiring/organizing fingerprints/palmprints, instruments, etc., can solve the problems of poor stability and robustness of Gabor, and low recognition accuracy.

Active Publication Date: 2017-10-24
XIDIAN UNIV
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Problems solved by technology

[0003] To sum up, the problems existing in the prior art are: the existing palmprint matching algorit

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  • Dual-Gabor palm print ROI matching method based on specific expanded eight neighborhoods
  • Dual-Gabor palm print ROI matching method based on specific expanded eight neighborhoods
  • Dual-Gabor palm print ROI matching method based on specific expanded eight neighborhoods

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Embodiment Construction

[0084] 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.

[0085] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0086] Such as figure 1 As shown, the double Gabor palmprint ROI matching method based on the specific extension eight neighborhoods provided by the embodiment of the present invention comprises the following steps:

[0087] S101: Input the palmprint ROI image to be matched and the template palmprint ROI image, and perform double Gabor filtering on these two images;

[0088] S102: Perform direction encoding processing on the filtering results of the two images to obtain an encoded im...

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Abstract

The invention belongs to the technical field of digital image processing, and discloses a dual-Gabor palm print ROI matching method based on specific expanded eight neighborhoods. The dual-Gabor palm print ROI matching method comprises inputting an ROI image of a palm print to be matched and an ROI image of a template palm print, and carting out dual-Gabor filtering; carrying out orientation coding processing and obtaining coded images; carrying out normalized coding on the variation degree of the coded images, and screening out a point the variation degree of which is highest; carrying out image pyramid calculation on the two coded images to obtain 1, 1/2 scale transformation images; obtaining the offset of a sampling point of the image in each scale, and finding out the position of the sampling point after offset; obtaining a preliminary matching score by calculating relative positions between the sampling points and the relative positions between the sampling points after offset; calculating the overlap ratio of the two palm prints which are subjected to variation degree normalized coding, and obtaining a final matching score by combining with the preliminary matching score; and judging whether the matching is true by means of a set fixed threshold. The dual-Gabor palm print ROI matching method based on specific expanded eight neighborhoods can carry put palm print image ROI matching accurately.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a method for matching double Gabor palmprint ROIs based on specific extended eight-neighborhood. Background technique [0002] Today's society has entered the information age, and traditional biometric identification technologies characterized by passwords, such as password codes and PIN codes, are increasingly difficult to meet the current information security needs. As a technical means with considerable application value and prospects, biometric recognition can improve the security of identity authentication and meet the encryption and decryption needs in daily life in a more convenient way. After comprehensive consideration of stability, recognition accuracy, user acceptance, convenience and low hardware cost, it is found that palmprint recognition has natural advantages compared with traditional biometric recognition. These inherent advantages h...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
CPCG06V40/1347G06V40/1365G06V10/462
Inventor 赵恒肖凯赵伟强庞辽军王华钟瑞
Owner XIDIAN UNIV
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