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Sclera Recognition Based on Efficient Sclera Segmentation and Significant Vessel Matching
The Computer Journal ( IF 1.4 ) Pub Date : 2020-05-30 , DOI: 10.1093/comjnl/bxaa051
Dong Xu 1 , Wei Dong 1 , Han Zhou 1
Affiliation  

The visible blood vein in sclera has unique characteristics for each person, and it can be captured in visible light conditions. Therefore, the sclera vessels have been used as an important feature to improve the performance of identification recognition systems, for example, mobile payment and phone encryption system. But recent studies show that unsatisfactory sclera segmentation and tedious matching process are the two critical issues to degrade the performance of sclera identification system. In this paper, we propose a robust sclera recognition system with high accuracy and efficiency. First, a novel sclera segmentation method that provides adaptive threshold is proposed. Second, we have designed an improved vessels enhancement method based on the local grey distribution and local texture information, and least square linearization and moment invariants are utilized to extract features. Finally, an efficient matching strategy is put forward based on the detected significant vessels. The experimental results on one database with images captured in colour illumination prove that the proposed sclera recognition method has an obvious improvement regarding efficiency and accuracy over other sclera recognition systems.

中文翻译:

基于有效巩膜分割和重要血管匹配的巩膜识别

巩膜中的可见静脉对每个人都有独特的特征,并且可以在可见光条件下捕获。因此,巩膜血管已被用作改善识别识别系统(例如,移动支付和电话加密系统)的性能的重要特征。但是最近的研究表明,不满意的巩膜分割和乏味的匹配过程是降低巩膜识别系统性能的两个关键问题。在本文中,我们提出了一种具有高精度和高效率的鲁棒巩膜识别系统。首先,提出了一种新的提供自适应阈值的巩膜分割方法。其次,我们根据局部灰度分布和局部纹理信息设计了一种改进的血管增强方法,最小二乘线性化和不变矩用于提取特征。最后,基于检测到的重要血管,提出了一种有效的匹配策略。在具有彩色照明下捕获的图像的一个数据库上的实验结果证明,与其他巩膜识别系统相比,所提出的巩膜识别方法在效率和准确性上都有明显的提高。
更新日期:2020-05-30
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