Sclera Recognition - A Survey

Abhijit Das, U. Pal, M. Blumenstein, M. A. Ferrer-Ballester
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引用次数: 55

Abstract

This paper presents a survey on sclera-based biometric recognition. Among the various biometric methods, sclera is one of the novel and promising biometric techniques. The sclera, a white region of connective tissue and blood vessels, surrounds the iris. A survey of the techniques available in the area of sclera biometrics will be of great assistance to researchers, and hence a comprehensive effort is made in this article to discuss the advancements reported in this regard during the past few decades. As a limited number of publications are found in the literature, an attempt is made in this paper to increase awareness of this area so that the topic gains popularity and interest among researchers. In this survey, a brief introduction is given initially about the sclera biometric, which is subsequently followed by background concepts, various pre-processing techniques, feature extraction and finally classification techniques associated with the sclera biometric. Benchmarking databases are very important for any pattern recognition related research, so the databases related with this work is also discussed. Finally, our observations, future scope and existing difficulties, which are unsolved in sclera biometrics, are discussed. We hope that this survey will serve to focus more researcher attention towards the emerging sclera biometric.
巩膜识别-一项调查
本文介绍了基于巩膜的生物特征识别的研究进展。在众多的生物识别方法中,巩膜是一种新颖而有发展前途的生物识别技术。巩膜是由结缔组织和血管组成的白色区域,包围着虹膜。对巩膜生物识别技术的调查将对研究人员有很大的帮助,因此本文将全面讨论过去几十年来在这方面的进展。由于在文献中发现的出版物数量有限,因此本文试图提高对该领域的认识,从而使该主题受到研究人员的欢迎和兴趣。本文首先对巩膜生物识别技术进行了简要介绍,然后介绍了背景概念、各种预处理技术、特征提取以及与巩膜生物识别技术相关的分类技术。基准数据库对于任何模式识别相关的研究都是非常重要的,因此本文还讨论了与此工作相关的数据库。最后,讨论了我们的观察结果,未来的范围和目前巩膜生物识别尚未解决的困难。我们希望这项调查将有助于把更多的研究人员的注意力集中到新兴的巩膜生物识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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