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Hand Vein Recognition Method and Recognition System Based on Block Mutual Information in Bit Plane

A vein recognition and mutual information technology, applied in biometric recognition, character and pattern recognition, subcutaneous biometrics and other directions, can solve the problems of low image distortion robustness and low robustness, and achieve intra-class correlation The effect of high, improved recognition rate, and low inter-class correlation

Active Publication Date: 2022-01-28
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0015] However, the hand vein recognition method based on structural features always has the problem of low robustness to image distortion and mis-segmentation, and the hand vein recognition method based on texture features is not robust to image resolution changes and illumination changes.

Method used

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  • Hand Vein Recognition Method and Recognition System Based on Block Mutual Information in Bit Plane
  • Hand Vein Recognition Method and Recognition System Based on Block Mutual Information in Bit Plane
  • Hand Vein Recognition Method and Recognition System Based on Block Mutual Information in Bit Plane

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Embodiment 1

[0062] Embodiment 1 of the present invention provides a handlet vein identification method based on bit-blocks within a bitmap, such as figure 1 As shown, the identification method includes:

[0063] S1: Get the area of ​​interest in the vein image, such as Figure 3-2 As shown, the handlet vein image is collected by the hardware image acquisition device, and the schematic diagram is figure 2 The region of interest in the handlet vein image is obtained by the degree of adaptive method, such as Figure 3-1 As shown, the specific method is: According to the formula Get the centroid of the vein image O (X 0 Y 0 ), And the centroid as the center of the largest internal circle in the region of the handlet vein image, with the largest internal circle diameter as the standard normalized standard, the size of the size of the E × E size is taken as a hand back Intravenous image is interested in interest, grayscale normalization of the obtained hand-back intravenous image, the pixel value of...

Embodiment 2

[0077] Embodiment 2 of the present invention provides a handlet vein identification system based on blocking interpretation within a bitmap, such as Image 6 As shown, the identification system includes:

[0078] The image pretreatment module 1 is used to acquire the region of interest in the handlet vein image, in which the handlet vein image is acquired by the hardware image acquisition device, the region of the handlet vein image is obtained by the centroid adaptive method; for the obtained handlet vein image The region of interest is performed to each pixel value of each pixel in the range of 0-255, and the grayscale map is obtained. In order to obtain the contour of the handlet vein, a gradient enhanced vein image segmentation method is used, the opponent vein image sense Interest area for splitting, get divided two-value charts, multiplied two-value maps and gray graphs, and obtain grayscale images that retain handlet vein contours;

[0079] Bit Chart Sequence Acquisition Mod...

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Abstract

The present invention provides a hand vein recognition method and recognition system based on block mutual information in the bit plane. The method and system will generate eight bit plane maps from the grayscale image of the dorsal hand vein outline, and convert the bit plane map into eight bit plane maps. The mutual information of the inner block is used as feature extraction, which makes the method highly robust to image distortion. The feature has high intra-class correlation, low inter-class correlation, good separability, and can achieve high Recognition rate.

Description

Technical field [0001] The present invention belongs to the field of biomechanical identification, and in particular, to a handlet vein identification method and an identification system based on the bitmap interposed in a bitmap. Background technique [0002] Biometric identity is an important technique based on computer system identification. The traditional password, card number, user name, key and document, etc. have inconvenience, easy to lose, or damage, unreadable, and passwords, etc., people are more convenient and reliable. There is a greater demand for identification. Based on fingerprint, palm, face, iris, handwriting, voiced, gait, and intravenous identification methods have not easy to lose, not easy to copy and carry, etc., and get more and more research and promotion applications . Biological characteristics identify a technique that relies on human biometric authentication, that is, collecting physiological features and behavioral features inherent in humans by co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/10
CPCG06V40/10G06V40/14
Inventor 王一丁曹衡蒋小琛
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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