基于场景需求的手指静脉识别技术算法研究

Zhou Zhou, En Guo, Lintao Yang, Shengkai Zhu
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引用次数: 0

摘要

随着信息技术的飞速发展,生物识别技术已广泛应用于生活的各个领域。其中,手指静脉识别技术作为生物识别领域的一项新兴技术,因其安全性好、识别精度高、对采集条件要求低等优点而受到广泛关注。针对现有手指静脉识别准确率较低以及手指旋转、平移、放置不准确等诸多因素的影响,本文通过改进算法对手指静脉认证技术进行优化:利用三维静脉认证研究,从四个方向获得手指静脉模式,有效克服了模式提取不完全的问题。对手指静脉轮廓进行扩展,更好地利用和传递浅纹理特征,提高识别速度。采用多特征融合匹配算法,大大提高了算法的鲁棒性。通过对实验数据的对比,本文所提出的手指静脉识别技术算法具有一定的优势和良好的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on algorithm of finger vein recognition technology for scene demand application
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.
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