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


Affiliations
1 School of Mathematics and Computer Science, Yogi Vemana University, Kadapa, India
2 Department of Computer Science and Engineering, AP-IIIT, RGUKT, India
 

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

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Authors

Srinivas Rao Kanusu
School of Mathematics and Computer Science, Yogi Vemana University, Kadapa, India
Ratnakumari Challa
Department 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.