Eye-Distance Based Mask Selection for Person Identification

Author

Rahman, Khandaker Abir ; Hossain, Md Shafaeat ; Bhuiyan, Md Al-Amin ; Zhang, Tao ; Hasanuzzaman, Md ; Ueno, H.

Author_Institution

Dept. of Comput. Sci. & Eng., Univ. of Dhaka, Dhaka, Bangladesh

fYear

2009

fDate

4-6 June 2009

Firstpage

114

Lastpage

119

Abstract

This paper presents a multi-resolution masks based pattern matching method for person identification. The system is commenced with the construction of multi-resolution mask cluster pyramid, where the mask size is chosen depending on the distance between two eyes, computed from the detected face. Experimental results show the effectiveness of the system with significantly higher precision, recall rates and matching probability comparing with conventional single resolution mask based person identification systems.

Keywords

biometrics (access control); distance measurement; eye; face recognition; image resolution; probability; eye-distance based mask selection; face detection; multiresolution mask cluster pyramid; pattern matching method; person identification; probability; Automation; Computational efficiency; Computer science; Convolution; Electronic mail; Eyes; Face detection; Informatics; Pattern matching; Principal component analysis; multi-resolution masks; person identification; single resolution mask;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Ubiquitous Engineering, 2009. MUE '09. Third International Conference on

Conference_Location

Qingdao

Print_ISBN

978-0-7695-3658-3

Type

conf

DOI

10.1109/MUE.2009.30

Filename

5319038