DocumentCode :
116958
Title :
Evaluation of Local Tetra Pattern features for face recognition
Author :
Walia, Ekta ; Rajput, Neeraj Kumar
Author_Institution :
Dept. of Comput. Sci., South Asian Univ., New Delhi, India
fYear :
2014
fDate :
3-5 Jan. 2014
Firstpage :
1
Lastpage :
6
Abstract :
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.
Keywords :
face recognition; FERET database; LBP; LTrP; ORL database; Yale database; dense descriptors; face recognition; local binary pattern; local tetra pattern feature evaluation; Computers; Databases; Euclidean distance; Face; Face recognition; Feature extraction; Histograms; Local Binary Pattern; Local Tetra Pattern; Recognition Rate;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2014 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2353-3
Type :
conf
DOI :
10.1109/ICCCI.2014.6921766
Filename :
6921766
Link To Document :
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