Defocused Palmprint Recognition Using 2DPCA
- Resource Type
- Conference
- Authors
- Sang, Haifeng; Liu, Fang
- Source
- 2009 International Conference on Artificial Intelligence and Computational Intelligence Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on. 1:611-615 Nov, 2009
- Subject
- Computing and Processing
Communication, Networking and Broadcast Technologies
Fingers
Computer vision
Feature extraction
Pixel
Laplace equations
Artificial intelligence
Computational intelligence
Image recognition
Data mining
Nearest neighbor searches
contactless acquisition
defocused palmprint
2DPCA
- Language
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 experiental 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.