Evaluation of Periocular over Face Biometric: A Case Study

被引：8
作者：
Bakshi, Sambit [1 ]
Kumari, Sunita [1 ]
Raman, Rahul [1 ]
Sa, Pankaj K. [1 ]
机构：
[1] Natl Inst Technol Rourkela, Odisha 769008, India
来源：
INTERNATIONAL CONFERENCE ON MODELLING OPTIMIZATION AND COMPUTING | 2012年 / 38卷
关键词：
Face; Periocular biometric; Recognition; Classification;
D O I：
10.1016/j.proeng.2012.06.198
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Recognition of a person through his face is the primitive mean of human identification. Identify a person through face biometric have grown its importance through the last decade and researchers have attempted to find unique facial feature-points. Facial data also contains change with expression and age, which makes recognition through face difficult. And there has developed a stringent necessity to identify a person on partial facial data. These motives led researchers derive auxiliary biometric traits from facial image, viz, ear, lip and periocular region. In particular, periocular region has been exploited to examine the existence of uniqueness as there are many nodal points in periocular region. Classification and recognition is achieved through periocular region which shows significant accuracy, given the fact that periocular biometric uses only 25% of a complete face data. (c) 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Noorul Islam Centre for Higher Education
引用
收藏
页码：1628 / 1633
页数：6
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