A fingerprint directional field extraction method combining directional diffusion

An extraction method and directional field technology, applied in the field of image processing, can solve problems such as poor accuracy and reliability, and achieve the effect of improving accuracy and reliability, strong universality and robustness, and improving extraction quality

Inactive Publication Date: 2018-12-28
ANHUI NORMAL UNIV
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Problems solved by technology

[0006] The embodiment of the present invention provides a fingerprint direction field extraction method combined with directional diffusion, aiming to solve the existing gradient-based fingerprint direction field extraction method, in the presence of large-area holes, fractures, dryness, and greasy fingerprints with large noise and low quality. When extracting the fingerprint direction field from the image, there are still problems of poor accuracy and reliability

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  • A fingerprint directional field extraction method combining directional diffusion
  • A fingerprint directional field extraction method combining directional diffusion
  • A fingerprint directional field extraction method combining directional diffusion

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[0038] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0039] The invention fully utilizes the contribution of the gradient vector modulus in the estimation of the direction of the fingerprint block, and calculates the direction of the fingerprint block based on the point direction similarity weighted linear projection analysis. Based on the consistency estimation of the fingerprint image block direction, the quality of the fingerprint block is evaluated, and a fingerprint image direction field extraction method based on the block quality classification mechanism and the compound window strategy is designed: the direction of high-quality blocks is estim...

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Abstract

The invention is applicable to the technical field of graphics processing, and provides a fingerprint direction field extraction method combined with direction diffusion. The method calculates the direction of fingerprint blocks based on a point direction similarity weighted linear projection analysis. Based on the direction consistency estimation of fingerprint image blocks, the quality of fingerprint block is evaluated, a fingerprint image orientation field extraction method based on block quality grading mechanism and compound window strategy is designed, wherein high quality block directions are estimated first, then the low quality block direction is estimated, combined with the block neighborhood priority, the high quality block direction information which is preferentially estimatedis diffused into the low quality block to be estimated under the compound window strategy, so as to effectively improve the accuracy and reliability of the direction estimation of the low quality block.

Description

technical field [0001] The invention belongs to the technical field of image processing and provides a fingerprint direction field extraction method combined with direction diffusion. Background technique [0002] Biometric technology is one of the hotspots in the field of information science and technology, and fingerprint recognition is currently the most widely used biometric technology. Biometric identification technology is based on biological characteristics and uses information processing technology as a means to organically combine biotechnology and information technology. Biometric identification technology overcomes the shortcomings of many traditional identity authentication methods, and has a high identification accuracy rate and is easy to use. Due to its unique advantages such as no loss, no forgetting, uniqueness, invariance, high anti-counterfeiting and ease of use, fingerprint recognition has become the most widely used biometric identification technology, ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/1347G06F18/217
Inventor 卞维新徐德琴接标丁新涛陈付龙罗永龙
Owner ANHUI NORMAL UNIV
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