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Highly precise safe palm recognition method encrypted based on phase characteristic of Log-Gabor mixed filtering

A mixed-phase, safe identification technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of reduced recognition accuracy, achieve high palmprint recognition accuracy, simplify the recognition algorithm, and improve the effect of recognition accuracy

Inactive Publication Date: 2010-03-10
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Zhang[L.Zhang and D.Zhang,", the security has been enhanced to a certain extent, but the recognition accuracy has declined

Method used

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  • Highly precise safe palm recognition method encrypted based on phase characteristic of Log-Gabor mixed filtering
  • Highly precise safe palm recognition method encrypted based on phase characteristic of Log-Gabor mixed filtering
  • Highly precise safe palm recognition method encrypted based on phase characteristic of Log-Gabor mixed filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] A kind of embodiment of the present invention is, based on the high-accuracy palmprint safe identification method of Log-Gabor hybrid filtering phase feature encryption, comprises the following steps:

[0042] a) Palmprint image preprocessing: use the edge tracking algorithm to obtain the corner points formed between the index finger and middle finger, ring finger and little finger of the palmprint image, and correct the palmprint image through these two corner points, and then cut the center of the palmprint image A rectangular image block I with a size of 128×128 pixels;

[0043] b) Two-dimensional Log-Gabor hybrid filtering: use four two-dimensional Log-Gabor filters in different directions to form a two-dimensional Log-Gabor hybrid filter LGMF(f, θ, θ 0 , σ θ , f 0 , σ f ),

[0044] LGMF ( θ 0 , σ θ , f ...

Embodiment 2

[0078] The method of this example is basically the same as that of Embodiment 1, the difference is only: when matching and identifying, the sampling factor ρ(4×4) is not used for down-sampling, but the Hamming distance matching algorithm is directly used to analyze PMPF 1 and PMPF 2 Match and get the matching result. The method in this example is better than the method in Embodiment 1, but the amount of calculation is increased.

[0079] The two-dimensional orthogonal Log-Gabor filter of the present invention The parameter θ i , σ θ , f 0 , σ f , a i Except that the numerical values ​​in Embodiment 1 can be respectively removed; other values ​​close to them can also be taken, but the recognition accuracy will be reduced.

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Abstract

The invention discloses a high-precision security palmprint identification method based on 2D Log-Gabor mixed-phase characteristic encryption. The method adopts a 4-directional mixed 2D Log-Gabor mixed filter to filter the preprocessed palmprint images; then the method adopts a phase encoding way to extract the phase characteristics from the filtering result, and then carries out encryption operation to the extracted mixed-phase characteristics by a cipher sequence through XOR processing; finally, the two encrypted palmprint mixed-phase characteristics obtained after the encryption operationare matched through Hamming distance matching algorithm to obtain a matching result. The algorithm is less affected by acquisition light conditions; the encryption operation to the palmprint mixed-phase characteristics by a cipher sequence through XOR processing can increase the distance between classes without changing the inner-class distance, so as to improve the palmprint identification accuracy and reduce the computational complexity; besides, the user can protect the privacy protection by changing the cipher, so the system has high security.

Description

technical field [0001] The invention relates to a security identification method based on biological feature encryption, in particular to a high-precision security palmprint identification algorithm based on two-dimensional Log-Gabor mixed filter phase feature encryption. Background technique [0002] In today's highly informationized world, with the rapid development of computer technology and network technology, information security has shown unprecedented importance. Accurate identification is required in daily life and in many occasions such as finance, justice, security check, e-commerce and so on. Today, there are three main ways of human identification: the first is based on knowledge, such as using passwords, passwords, etc.; the second is based on items, such as using keys, ID cards, etc.; the third is based on Biometric methods of the human body, such as face, fingerprint, palm print, voice, etc. There are many defects in the first two methods. The method based o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
Inventor 张家树
Owner SOUTHWEST JIAOTONG UNIV
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