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Palm vein recognition system and method and computer readable storage medium

A technology for identifying systems and palm veins, applied in computer parts, computing, and kernel methods, etc., can solve the problems of low robustness and large computational load, and achieve the effect of small computational load and large detection robustness.

Pending Publication Date: 2022-02-18
北京巴塔科技有限公司
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AI Technical Summary

Problems solved by technology

In the current palm vein recognition technology, the general calculation amount is large and the robustness is small

Method used

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  • Palm vein recognition system and method and computer readable storage medium
  • Palm vein recognition system and method and computer readable storage medium
  • Palm vein recognition system and method and computer readable storage medium

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Embodiment Construction

[0027] Hereinafter, the inventive artery recognition system of the present invention will be described in detail in connection with the drawings.

[0028] The vein identification system includes a palm detection module, a feature extraction module, a comparison module.

[0029]

[0030] The palm detection module is detected by the MSER detection candidate area, the edge image positioning key, the score, extracting ROI and judging the true and false composition.

[0031] MAXIMALLY STABLE ExtRemal Regions is a technique for regional detection in image processing. MSER is based on the grayscale field, and the maximum communication region composed of a pixel similar to the grayscale is calculated, meaning that the brightness of the internal pixels in the field is larger than the grayscale of the field or the gradation of the edge of the field. This operation first sorts the grayscale of all pixels, and add each communication area as the threshold change. In the operation, the charact...

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Abstract

Disclosed is a palm vein recognition system. Candidate regions are detected through MSER, key points are positioned and scored through edge images, ROI is extracted, and authenticity of the palm ROI is judged through an HOG + SVM classifier; during feature extraction, curvature filtering, Gamma filtering and contrast-limited histogram equalization are firstly adopted for preprocessing, and then Gabor wavelet coefficient features, LGBP features and index features are extracted; during comparison, the index features are firstly used for comparison, the first 5% of the registration library is selected as a candidate set, then sampling points, directions and frequencies are selected for comparison, 20% of the candidate set is selected again, and finally the registration features with the highest similarity are selected through one-to-one comparison.

Description

Technical field [0001] The present invention belongs to the technical field of palm vein recognition, and more particularly to a palm vein identification system, a vein identification method, and a computer-readable storage medium. Background technique [0002] The vein identifies the technique of identifying intravenous texture of the palm. Compared to other biometric identification of fingerprint recognition, iris identification, it is easy to use, hygiene and accurate rate. The vein identification technology is the same as that of other biometric identification techniques, including detection, feature extraction, comparison. [0003] The palm detection and alignment methods are mainly divided into traditional image processing methods and depth learning methods. The traditional image processing method includes an image segmentation method based on an edge feature method based on a local descriptor (SIFT (SCALE-INVARIANTFEATURE TRANSFORM: scale constant feature conversion), SURF...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/14G06V40/12G06V10/25G06V10/44G06V10/46G06V10/77G06V10/764G06K9/62G06N20/10
CPCG06N20/10G06F18/2135G06F18/2411
Inventor 不公告发明人
Owner 北京巴塔科技有限公司
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