Title :
Defocused Palmprint Recognition Using 2DPCA
Author :
Sang, Hai-feng ; Liu, Fang
Author_Institution :
Comput. Vision Group, Shenyang Univ. of Technol., Shenyang, China
Abstract :
Hand-based identification have developed very recently. This paper proposes a recognizing method for defocused palmprint images using 2DPCA. In order to achieve the purpose of intercepting region of interest (ROI) of palmprint under contactlass mode, we used profile information of palm and root of fingers situations to locate characteristic points of contour. Next, the palmprint features were extracted by 2DPCA method. Finally, we used of nearest neighbor distance classifier for matching. The experimental result presents 97.71% correct recognition rate of defocused palmprint on a database of 50 subjects and shows efficiency of the method proposed in this paper.
Keywords :
biometrics (access control); feature extraction; image classification; image matching; image recognition; principal component analysis; 2DPCA; contactless acquisition; contour points localisation; defocused palmprint recognition; feature extraction; hand-based identification; image matching; intercepting region of interest; nearest neighbor distance classifier; principal component analysis; Artificial intelligence; Computational intelligence; Computer vision; Data mining; Feature extraction; Fingers; Image recognition; Laplace equations; Nearest neighbor searches; Pixel; 2DPCA; contactless acquisition; defocused palmprint;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.106
