期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2015
卷号：4
期号：4
页码：655-658
出版社：IJCSN publisher
摘要：Biometric system has been actively emerging in various industries and continuing to roll to provide higher security features for access control system. The proposed system simultaneously acquires the finger surface and subsurface features from finger-vein and finger print images. This paper reviews the acquired finger vein and finger texture images are first subjected to pre-processing steps, which extract the region-of-interest (ROI). The enhanced and normalized ROI images employed to extract features and generate matching score. For this I will develop and investigate two new score-level combinations i.e. Gabour filter, Repeated line Tracking and Neural network comparatively evaluate them more popular score-level fusion approaches to ascertain their effectiveness in the proposed system. MATLAB software will be using for proposed work
关键词：Finger-Vein Recognition;Gabour Filter;Repeated Line Tracking;Neural Network
