DocumentCode :
652416
Title :
Discriminant Orientation Feature for Palmprint Recognition
Author :
Hoang Thien Van ; Vinh Thanh Phan ; Thai Hoang Le
Author_Institution :
Dept. of Comput. Sci., Ho Chi Minh City Univ. of Technol., Ho Chi Minh City, Vietnam
fYear :
2013
fDate :
24-27 June 2013
Firstpage :
150
Lastpage :
156
Abstract :
In this paper, we propose a novel feature for palmprint recognition, called Discriminant Orientation Feature (DORIF) based on using Modified Finite Radon Transform (MFRAT) and Two Directional Two Dimensional Linear Discriminant Analysis (2D)2LDA. Our proposed method includes two main steps for palmprint feature extraction: (1) Local invariant orientation features are extracted by using MFRAT that handles the palm structure and the variations of illumination and rotation. (2) (2D)2LDA is then applied to further remove redundant information and form a discriminant representation more suitable for palmprint recognition. The experimental results for the identification on public database of Hong Kong Polytechnic University (PolyU) demonstrate the effectiveness of the proposed method.
Keywords :
Radon transforms; feature extraction; image representation; lighting; object recognition; palmprint recognition; statistical analysis; DORIF; Hong Kong Polytechnic University database; MFRAT; PolyU; discriminant orientation feature; discriminant representation; illumination variation; local invariant orientation feature extraction; modified finite radon transform; palm structure handling; palmprint feature extraction; palmprint recognition; rotation variation; two directional 2D linear discriminant analysis; Databases; Educational institutions; Encoding; Feature extraction; Testing; Training; Transforms; 2DLDA; DORIF; Feature Extraction; MFRAT; Palmprint recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Its Applications (ICCSA), 2013 13th International Conference on
Conference_Location :
Ho Chi Minh City
Type :
conf
DOI :
10.1109/ICCSA.2013.30
Filename :
6681113
Link To Document :
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