ICTACT Journal on Image and Video Processing

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Palm Vein Classification from Large Datasets Using Deep Convolutional Fusion Learning


Affiliations
1 Department of Information Technology, Karpagam Institute of Technology, India
2 Department of Computer Science and Engineering, SNS College of Engineering, India
3 Department of Computer Science and Engineering, St. Joseph’s Institute of Technology, India
     

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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.
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  • Y.Y. Fanjiang, “Palm Vein Recognition based on Convolutional Neural Network”, Informatica, Vol. 32, No. 4, pp. 687-708, 2021.

  • S. Li and B. Zhang, “Joint Discriminative Sparse Coding for Robust Hand-Based Multimodal Recognition”, IEEE Transactions on Information Forensics and Security, Vol. 16, pp. 3186-3198, 2021.

  • R. Hernandez-Garcia and N. Guil, “Large-Scale Palm Vein Recognition on Synthetic Datasets”, Proceedings of International Conference of the Chilean Computer Science Society, p. 1-8, 2021.

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  • S. Athisayamani, A. Robert Singh and A. Sivanesh Kumar, “Recurrent Neural Network-Based Character Recognition System for Tamil Palm Leaf Manuscript using Stroke Zoning”, Proceedings of International Conference on Inventive Communication and Computational Technologies, pp. 165-176, 2021.

  • X. Liang and D. Zhang, “CompNet: Competitive Neural Network for Palmprint Recognition Using Learnable Gabor Kernels”, IEEE Signal Processing Letters, Vol. 28, pp. 1739-1743, 2021.

  • K. Zhang and Tao, “Class Constraint-based Discriminative Features Learning Algorithm for Palm Print and Palm Vein Fusion Recognition”, Proceedings of International Conference on Signal and Image Processing, pp. 275-280, 2022.

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Abstract Views: 169

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  • Palm Vein Classification from Large Datasets Using Deep Convolutional Fusion Learning

Abstract Views: 169  |  PDF Views: 1

Authors

B. Chellapraba
Department of Information Technology, Karpagam Institute of Technology, India
K. Periyakaruppan
Department of Computer Science and Engineering, SNS College of Engineering, India
D. Manohari
Department of Computer Science and Engineering, St. Joseph’s Institute of Technology, India
M.S. Kavitha
Department of Computer Science and Engineering, SNS College of Engineering, India

Abstract


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