PCA Based Palm-Print Recognition System Using DM3730

T. Nagarjuna Reddy, S. Karunakar Reddy

Abstract


Palm-print technology is one of the biometric techniques used to identify an individual. Recognition of palm prints is based on the features like palm lines, texture, ridges etc. Several line and texture extraction techniques have already been proposed. This paper presented rapid and effective palm-print recognition based on DM3730 chip which is a Da Vinci™ digital media processor. Paper deployed USB camera as a palm-print images’ acquisition equipment, used the ARM + DSP multi-core DM3730 processor technology as palm-print image recognition processing, and sent the recognition results to the user interface ultimately. Linux Operating System run in the ARM side, DSP/BIOS Operating System service in the DSP side oppositely. This paper’s palm-print recognition algorithm based on wavelet reconstruction and local DCT and 2DPCA. Palmprint recognition by the nearest neighbour classifier at last.

Keywords


DM3730, Palm-print Recognition, Wavelet Reconstruction, Local DCT, 2DPCA.

References


G.M. Lu, D. Zhang, and K.Q. Wang, Palm-print recognition using eigen palms features, Pattern Recogn Lett 24 (2003).

C.C. Han, H.L. Cheng, C.L. Lin, and K.C. Fan, Personal authentication using palm-print features, Pattern Recogn 36 (2003).

D. Zhang, W.K. Kong, J. You, and Michael Wong, On-line palm-print identification, IEEE Trans Pattern Anal Machine Intelligence, 25 (2003).

W. Li, Z. David, and Z. Xu, Palm-print identification by Fourier transform, Int J Pattern Recogn Art Intell 16 (2002).

A. Kumar and H. C. Shen, Recognition of palm-prints using wavelet based features, Proceedings of the international Conference on Systems and Cybernetics, SCI-2002, Orlando, FL, July 2002.


Full Text: PDF

Refbacks

  • There are currently no refbacks.




 


All Rights Reserved © 2012 IJARCSEE


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 Unported License.