Evaluation of Local Tetra Pattern Features For Face Recognition

被引：0
|
作者：
Walia, Ekta [1 ]
Rajput, Neeraj Kumar [2 ]
机构：
[1] South Asian Univ, Dept Comp Sci, New Delhi, India
[2] CSIR, New Delhi, India
来源：
2014 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI) | 2014年
关键词：
Local Binary Pattern; Local Tetra Pattern; Recognition Rate;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an evaluation of two dense descriptors that have been or can be used in face recognition. Local Binary Pattern (LBP) is an established descriptor with many researchers focusing on its utility in Face Recognition. Local Tetra Patterns (LTrP) have been recently introduced and this paper explores the possibility of its utility in Face Recognition. A comparative analysis on the use of both these descriptors in face recognition has been carried out. Results have been presented on well-known ORL, Yale and FERET databases. It is worth stating that in the present experimental setup, LTrP is able to improve the recognition rate only marginally when compared to LBP.
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页数：6
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