A Method for Palmprint Verification Using Array of Mean Values of the Pixels in The Grids of ROI

Srinivas Rao Kanusu¹ and Ratnakumari Challa²

¹School of Mathematics and Computer Science, Yogi Vemana University, Kadapa (India).

²Department of Computer Science and Engineering, AP-IIIT, RGUKT (India).

ABSTRACT:

An approach for extracting texture pattern as features for Palmprint verification is proposed in this paper. The features to classify the texture pattern of the Palmprints are calculated as an array of mean values of the pixels from the grided ROI . The Palm print image is processed through the various stages of the system to generate the feature vector which is useful to classify the texture for Palmprint verification.

KEYWORDS: Palmprint matching; Region of interest; Edge detection; Feature vector

Copy the following to cite this article: Kanusu S. R, Challa R. A Method for Palmprint Verification Using Array of Mean Values of the Pixels in The Grids of ROI. Orient. J. Comp. Sci. and Technol;4(2)

Copy the following to cite this URL: Kanusu S. R, Challa R. A Method for Palmprint Verification Using Array of Mean Values of the Pixels in The Grids of ROI. Orient. J. Comp. Sci. and Technol;4(2). Available from: http://www.computerscijournal.org/?p=2532

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