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Method for identity recognition based on palm print and finger crease feature fusion

A feature fusion and identity recognition technology, applied in character and pattern recognition, instruments, digital data authentication, etc., to achieve the effect of improving accuracy, reducing economic costs, and improving recognition accuracy

Inactive Publication Date: 2014-10-22
DALIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is still room for improvement in recognition accuracy using a single palmprint and fingerprint recognition technology for biometric recognition.

Method used

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  • Method for identity recognition based on palm print and finger crease feature fusion
  • Method for identity recognition based on palm print and finger crease feature fusion
  • Method for identity recognition based on palm print and finger crease feature fusion

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Embodiment Construction

[0034] as attached figure 1 As shown, the present invention is a wavelet-based palmprint and fingerprint fractional layer fusion method, which is divided into two stages: palmprint, fingerprint wavelet energy feature extraction stage and fractional layer feature fusion. In order to verify the effectiveness of the present invention, we use the database of palm prints and finger prints of Hong Kong Polytechnic University.

[0035] The specific implementation process is as follows:

[0036] The first step: wavelet energy feature extraction of palmprint and fingerprint based on wavelet transform;

[0037] (1) Palmprint Energy Feature Calculation Based on Wavelet Transform

[0038] The wavelet transform decomposes the palmprint image in different scales in the horizontal direction, vertical direction and diagonal direction, and the wavelet coefficients obtained in different levels and directions constitute the palmprint features. Let H i , V i and D i are the detailed images ...

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Abstract

The invention relates to a method for identity recognition based on palm print and finger crease feature fusion. The method is achieved based on fusion of palm print and finger crease wavelet transform feature matching on a score layer. The method comprises the steps of adopting wavelet transform to perform feature extraction on palm print and finger crease images, and constructing palm print and finger crease wavelet energy characteristics; implementing corresponding feature matching operation on two wavelet energy features, obtaining respective initial matching scores and performing normalization processing; finally using multiplication rules to perform fusion on palm print and finger crease normalization matching scores, and obtaining a final fusion score. Recognition precision of the invention can be worked out based on statistical results of the fusion score, and accordingly effectiveness of the method is verified.

Description

technical field [0001] The invention relates to a new method of human biological feature recognition technology, in particular to a new fusion recognition method based on wavelet energy features of palm prints and finger prints, which belongs to the field of computer applications. Background technique [0002] Human biometric identification technology is a personal identity authentication technology that combines computer with high-tech means such as optics, acoustics, and biostatistics principles. It uses the inherent biological characteristics of the human body for personal identification. At present, human identity authentication technology mainly uses features such as face, fingerprint, iris, palm print and finger print. Such characteristics have many advantages: (1) universality, everyone has such characteristics; (2) uniqueness, under the premise that everyone has the same characteristics, any two people have different characteristics; (3) ) permanence, such character...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06F21/32
Inventor 张建新张强刘建洋
Owner DALIAN UNIV