Comparison of Ear Recognition Robustness of Single-View-Based Images Rotated in Depth

Author

Watabe, Daishi ; Minamidani, Takanari ; Sai, Hideyasu ; Jianting Cao

Author_Institution

Dept. of Syst. Eng., Saitama Inst. of Technol., Fukaya, Japan

fYear

2014

fDate

10-12 Sept. 2014

Firstpage

19

Lastpage

23

Abstract

To improve the robustness against variation in shooting angles, we previously proposed using an asymptotic expansion of the Gabor transform of ear images to compute the Gabor features of other poses and using these estimates in multiple linear discriminant analysis to enhance feature discriminability. Extending this study, the accuracies are compared with other standard methods that can be used to compute feature vectors for other poses, as in principal component analysis and multiple regression analysis.

Keywords

ear; image recognition; principal component analysis; regression analysis; transforms; vectors; Gabor transform; asymptotic expansion; ear recognition; feature discriminability; feature vectors; multiple linear discriminant analysis; multiple regression analysis; principal component analysis; robustness; shooting angles; single-view-based images; Biometrics (access control); Ear; Principal component analysis; Robustness; Shape; Training; Vectors; Ear recognition; Gabor feature discrimination; robustness against pose-variations.;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Security Technologies (EST), 2014 Fifth International Conference on

Conference_Location

Alcala de Henares

Type

conf

DOI

10.1109/EST.2014.16

Filename

6982768