文章基本信息

标题：Finger Vein Enhancement Using Segmentation and SVM
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作者：Kirandeep Kaur ; Shashi Bhushan
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：5
页码：4549-4554
出版社：TechScience Publications
摘要：Finger vein is a unique physiological biometric for identification of individuals based on the physical characteristics and parameters of the vein patterns in the human. This technology is at present in use or development for a wide range of applications, which includes credit card authentication, security in automobile, employee time and tracking attendance, computer and network authentication, security at end points and automated teller machines. The proposed work simultaneously acquires information of the finger-vein and low-resolution finger image. Images and combines these two techniques using a better score-level combination strategy. Analysis of the previously is proposed for finger-vein identification approaches in image processing and develop a proposed approach that describes it superiority over prior published efforts. In this thesis developed and analyzed three new score-level combinations, i.e., Repeated Line Tracking , Gabor Filter and Segmentation and SVM works comparatively to evaluate analysis them with more popular technique score-level fusion approaches to certain information details their effectiveness in the proposed system
关键词：Analysis of Finger Vein Recognition; Image;Segmentation; Support Vector Machine (SVM)