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Palm Vein Recognition Based on 2D Gabor Filter and Artificial Neural Network

Rabikumar Meitram and Prakash Choudhary
Computer Science and Engineering Department, National Institute of Technology Manipur, Imphal, 795001, India
Abstract—This paper presents a new approach to improve the performance of palm vein-based identification systems. Here palm vein is considered as a piece of texture and apply texture-based feature extraction technique. The palm vein from the database is used to identify the Region of Interest of that particular palm vein image. The extracted Region of Interest is than applied Gabor Filter for local features extraction. Extracted local features are then applied sequential feature reduction to reduce the features which are more unique. Reduced features vectors are then process using artificial neural network environment.
 
Index Terms—palm vein, Gabor filter, ANN, Gaussian filter, ROI

Cite: Rabikumar Meitram and Prakash Choudhary, "Palm Vein Recognition Based on 2D Gabor Filter and Artificial Neural Network," Vol. 9, No. 3, pp. 68-72 August 2018. doi: 10.12720/jait.9.3.68-72
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