Improving the Robustness of Single-View Ear-Based Recognition under a Rotated in Depth Perspective

Author

Watabe, Daishi ; Sai, Hideyasu ; Sakai, Kenji ; Nakamura, Osamu

Author_Institution

Saitama Inst. of Technol., Kogakuin Univ., Saitama, Japan

fYear

2011

fDate

19-22 Sept. 2011

Firstpage

179

Lastpage

184

Abstract

An algorithm is proposed for improving the robustness of an ear biometric system with the aim of developing a surveillance-system based on ear biometrics. To deal with pose variations that are rotated in depth, the Gabor jets of different poses are estimated and used as training data for a discriminant analysis-based classifier. Experimental evaluations show the effectiveness of the proposed algorithm, and the potential for improving the robustness of a single-view-based ear surveillance-system.

Keywords

biometrics (access control); ear; pattern classification; pose estimation; surveillance; Gabor jets; discriminant analysis based classifier; ear biometric system; pose variations; rotated in depth perspective; single view ear based recognition; surveillance system; Cameras; Ear; Robustness; Shape; Surveillance; Training; Training data; Discriminant analysis; Ear biometrics; Gabor Jets; single-view-based biometrics; surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Biometrics and Kansei Engineering (ICBAKE), 2011 International Conference on

Conference_Location

Takamatsu, Kagawa

Print_ISBN

978-1-4577-1356-9

Electronic_ISBN

978-0-7695-4512-7

Type

conf

DOI

10.1109/ICBAKE.2011.29

Filename

6031274