期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2013
卷号：5
期号：4
页码：151
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Biometrics is science of measuring and statistically analyzing biological data. Biometric system establishesidentity of a person based on unique physical or behavioural characteristic possessed by an individual.Behavioural biometrics measures characteristics which are acquired naturally over time. Physicalbiometrics measures inherent physical characteristics on a n individual. Over the last few decadesenormous attention is drawn towards ocular biometrics. Cues provided by ocular region have led toexploration of newer traits. Feasibility of periocular region as a useful biometric trait has been exploredrecently. With the promising results of preliminary examination, research towards periocular region iscurrently gaining lot of prominence. Researchers have analyzed various techniques of feature extractionand classification in the periocular region. The current paper investigates the effect of using Lower CentralPeriocular Region (LCPR) for identification. The results obtained are comparable with those acquired forthe entire periocular region with an advantage of reduced periocular area.
关键词：Periocular region; Lower Central Periocular Region and ocular biometrics
