期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：6
页码：8003-8007
出版社：TechScience Publications
摘要：Finger vein is a unique physiological biometric which is used for identification of individuals based on the physical characteristics and parameters of the vein patterns in the human body. This technology is at present in use or development for a wide range of applications, which includes credit card authentication [1], security in automobile, employee time and tracking attendance [1], computer and network authentication, security at end points and automated teller machines [1]. In this paper, different level of techniques are discussed and analyzed i.e., Repeated Line Tracking, Gabor Filter, Automatic Trimap generation and Graph Matching a comparatively evaluate them with more popular score-level fusion approaches to ascertain their effectiveness in this proposed system. The basic principle, different feature extraction techniques and performance measuring are analyzed. Mostly the existing work is functionally described and compared in three parts (i.e. Finger vein acquired image, pre-processing and feature extraction).
