vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff93732e0000004bc70f0001000300 Biometric techniques are currently among the most widely used methods all over the world for determining a person identity. This trend is expected to continue in the near future. In this study, we focused on palm vein is used as a strategy to improve biometric authentication systems by combining a method that is based on texture with a method that is based on a convolutional neural network (CNN). The simulation is used to test the performance of the model on several different datasets. In simulations, the suggested method routinely achieves better results than the current best practice on each and every dataset.
B. Chellapraba1, K. Periyakaruppan2, D. Manohari3, M.S. Kavitha4
Karpagam Institute of Technology, India1,SNS College of Engineering, India2,4,SNS College of Engineering, India3
Palm Vein, Classification, Convolutional Neural Network
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| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 13 , Issue: 1 , Pages: 2802-2805 )
Date of Publication :
August 2022
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538
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