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Periyakaruppan, K.
- Palm Vein Classification from Large Datasets Using Deep Convolutional Fusion Learning
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Authors
Affiliations
1 Department of Information Technology, Karpagam Institute of Technology, IN
2 Department of Computer Science and Engineering, SNS College of Engineering, IN
3 Department of Computer Science and Engineering, St. Joseph’s Institute of Technology, IN
1 Department of Information Technology, Karpagam Institute of Technology, IN
2 Department of Computer Science and Engineering, SNS College of Engineering, IN
3 Department of Computer Science and Engineering, St. Joseph’s Institute of Technology, IN
Source
ICTACT Journal on Image and Video Processing, Vol 13, No 1 (2022), Pagination: 2802-2805Abstract
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.Keywords
Palm Vein, Classification, Convolutional Neural Network.
References
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