Research on algorithm of finger vein recognition technology for scene demand application

Zhou Zhou; En Guo; Lintao Yang; Shengkai Zhu

doi:10.1117/12.2689642

10 August 2023 Research on algorithm of finger vein recognition technology for scene demand application

Zhou Zhou, En Guo, Lintao Yang, Shengkai Zhu

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127480T (2023) https://doi.org/10.1117/12.2689642
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

With the rapid development of information technology, biometrics has been widely used in various fields of life.Among them, finger vein recognition technology, as a new technology in the field of biometrics, has been widely concerned because of its advantages of good security, high recognition accuracy and low requirements for acquisition conditions.In view of the low accuracy of the existing finger vein recognition and the influence of many factors such as finger rotation, translation and inaccurate placement, this paper optimizes the finger vein authentication technology by improving the algorithm: using three-dimensional vein authentication research, the finger vein pattern is obtained from four directions, which effectively overcomes the problem of incomplete pattern extraction.The contour of finger vein is extended to make better use of and transfer the shallow texture features and improve the recognition speed.The multi-feature fusion matching algorithm is used to greatly improve the robustness of the a lgorithm.According to the comparison of experimental data, the finger vein recognition technology algorithm in this paper has certain advantages and good application prospect.

Citation Download Citation

Zhou Zhou, En Guo, Lintao Yang, and Shengkai Zhu "Research on algorithm of finger vein recognition technology for scene demand application", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127480T (10 August 2023); https://doi.org/10.1117/12.2689642

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KEYWORDS

Veins

Detection and tracking algorithms

Particles

Feature extraction

Image processing

Biometrics

Feature fusion

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