Recognition and processing method and device for dorsal hand vein image

A vein image, recognition and processing technology, applied in the field of image processing, can solve the problem that the feature information cannot accurately reflect the vein image of the back of the hand, etc., and achieve the effect of high robustness, strong feature stability, and high feature accuracy

Active Publication Date: 2020-06-02
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0005] Aiming at the problem that the feature information obtained in the existing method for recognizing and processing dorsal hand vein images cannot accurately reflect the image information of dorsal hand veins, the present invention provides a method and device for recognizing and processing dorsal hand vein images

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  • Recognition and processing method and device for dorsal hand vein image
  • Recognition and processing method and device for dorsal hand vein image
  • Recognition and processing method and device for dorsal hand vein image

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[0050]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0051] The identity authentication using the dorsal hand vein image of the human body may specifically include two parts: first, the recognition processing of the dorsal hand vein image and the extraction of features to be identified from the dorsal hand vein image. Subsequently, the similarity of the feature to be identified is compared with the sample features pre-stored in the feature library to determine whether the feature to be identified is a pre-stored sample feature, and if so, it can be determined according to the identity information corresponding to the sample feature. The identity information corresponding to the identification feature, if not, the ...

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Abstract

The recognition and processing method and device of the dorsal hand vein image provided by the present invention obtain a binary image including the vein pattern on the back of the hand by binarizing the collected dorsal hand vein image, and after multiple rotations along the longitudinal axis of the binary image, The binary image of the binary image is processed by image integration to obtain multiple integral vectors, and the multiple integral vectors are normalized to obtain the binary integral image of the binary image, and the binary integral image is processed by two-dimensional discrete cosine transform to obtain the low frequency Image, extract features to be recognized from low-frequency images. By performing multiple rotations on the binary image and performing image integration processing on the binary image obtained after each rotation, the feature accuracy of the finally obtained feature to be recognized is higher, and the feature stability is stronger, which in turn makes the use of The robustness of the authentication result obtained after identity authentication is performed on the feature to be identified is higher.

Description

technical field [0001] The invention relates to an image processing technology, in particular to a method and device for recognizing and processing vein images on the back of the hand. Background technique [0002] Vein recognition is a biometric technology. Since the vein image on the back of each person's hand is unique and persistent like a fingerprint, it can be used for identity authentication. [0003] Generally speaking, in the existing hand vein image recognition process, the hand vein image is first processed in grayscale according to the artificially preset segmentation threshold, and then the feature information of the key points is extracted from the processed hand vein image. Specifically, the key points of the veins may be such as vein detection endpoints and vein intersections, and the specific feature information may be such as information such as quantity and relative position. Substituting the feature information of the key points obtained after the recogn...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/38
CPCG06V40/10G06V40/14G06V10/28
Inventor 王一丁郑璇蒋小琛
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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