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Fingerprint and finger vein bimodal recognition decision level fusion method

A decision-level fusion, finger vein technology, applied in the field of pattern recognition, can solve problems such as staying in theory, and achieve the effects of improved impact, strong practicability, and reliable recognition results

Inactive Publication Date: 2012-03-14
HARBIN ENG UNIV
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AI Technical Summary

Problems solved by technology

[0003] So far, no multi-modal recognition system based on fingerprints and finger veins has been formed, and existing research remains theoretical

Method used

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  • Fingerprint and finger vein bimodal recognition decision level fusion method
  • Fingerprint and finger vein bimodal recognition decision level fusion method
  • Fingerprint and finger vein bimodal recognition decision level fusion method

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Experimental program
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Embodiment Construction

[0019] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0020] 1 Image Quality Evaluation

[0021] Firstly, the quality evaluation of vein and fingerprint images is carried out.

[0022] 1.1 Quality Evaluation of Finger Vein Images

[0023] Through the experimental analysis of a large number of finger vein images, the main factors affecting the vein image are: 1) the size of the effective area of ​​the image: the larger the effective area of ​​the vein image, the more information it contains and the better the image quality; 2) Image position offset: when the finger is too far away during collection, the amount of image information will be less, and the calculation error will be larger, so the rejection rate will be higher; 3) Image contrast: during the vein image collection process, the dark light will cause the overall image If the image is too dark, the contrast of the image will be low, otherwise it will cause th...

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Abstract

The invention provides a fingerprint and finger vein bimodal recognition decision level fusion method. Two modules, namely a fingerprint module and a vein module are included. The fingerprint module and the vein module read fingerprint images and vein images; the read fingerprint images and vein images are subjected to image quality evaluation according to respective image characteristics to acquire quality scores; the fingerprint images and vein images are preprocessed and recognized, wherein the fingerprint recognition adopts a minutiae-based matching method and the vein recognition adopts an improved Hausdorff distance mode, and respective recognition results are obtained; and finally, a weight is designed according to image quality scores of the two modes, and the recognition results are subjected to decision level fusion according to the weight and a final recognition result is obtained. Based on the fact that the performance of the system after fusion is superior to that of a single fingerprint recognition or finger vein recognition system, the method has strong practicability.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and in particular relates to fingerprint recognition, finger vein recognition and a decision-level fusion method thereof. Background technique [0002] Multimodal biometric identification technology is a method of integrating evidence scores provided by multiple or multiple biometric sources to make more accurate and rapid decisions. The application of multi-modal biometric identification technology makes up for the shortcomings of single biometric authentication, which is unstable and has a high error rate. Research in this area began in 1995. Brunelli and Falavigna proposed a dual-mode biometric recognition system based on voice and face features, which achieved good results; in 1996, Maes first realized a combination of biometrics ( Fingerprint) and non-biological characteristics (password) system; in 1997, Bigun proposed a Bayesian method that integrates different biological char...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 王科俊马慧冯伟兴李雪峰管凤旭王晨晖
Owner HARBIN ENG UNIV
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