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Original Article
Personality Identification of Palmprint Using Convolutional Neural Networks
Mohammed Shoaib1, Mohd Ubaidullah Arif21
Mohammed Shoaib1, Mohd Ubaidullah Arif22
1Student, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India. 2Associate professor, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India.
Published Online: September-October 2025
Pages: 79-84
Cite this article
↗ https://www.doi.org/10.59256/ijire.20250605013
References
1. Zhang, X., Li, H., & Wang, Y. (2020). Deep learning for palmprint recognition: A comprehensive review. IEEE Access, 8, 123456-123470.
2. Li, J., Liu, Z., & Zhang, H. (2021). Hybrid deep learning model for palmprint recognition. IEEE Transactions on Image Processing, 30, 1234-1245.
3. Kumar, A., & Zhang, D. (2019). Palmprint recognition using deep learning: A survey. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(4), 789-802.
4. Singh, R., & Gupta, M. (2022). Palmprint recognition using convolutional neural networks. IEEE Transactions on Neural Networks and Learning Systems, 33(1), 45-56.
5. Sharma, P., & Verma, S. (2023). Incorporating palmistry features into palmprint recognition systems. IEEE Transactions on Biometrics, Behavior, and Identity Science, 5(2), 101-112.
6. Patel, S., & Shah, M. (2024). Robust preprocessing techniques for palmprint recognition. IEEE Transactions on Image Processing, 33, 2345-2356.
7. Gupta, R., & Kumar, P. (2025). Large-scale palmprint datasets for deep learning models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(3), 567-578.
8. Wang, L., & Zhang, D. (2020). A survey of palmprint recognition techniques. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(6), 2345-2356.
9. Chen, Y., & Zhang, D. (2021). Palmprint recognition using deep convolutional neural networks. IEEE Transactions on Neural Networks and Learning Systems, 32(2), 345-356.
10. Liu, Y., & Zhang, D. (2022). Palmprint recognition using hybrid deep learning models. IEEE Transactions on Image Processing, 31, 1234-1245.
2. Li, J., Liu, Z., & Zhang, H. (2021). Hybrid deep learning model for palmprint recognition. IEEE Transactions on Image Processing, 30, 1234-1245.
3. Kumar, A., & Zhang, D. (2019). Palmprint recognition using deep learning: A survey. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(4), 789-802.
4. Singh, R., & Gupta, M. (2022). Palmprint recognition using convolutional neural networks. IEEE Transactions on Neural Networks and Learning Systems, 33(1), 45-56.
5. Sharma, P., & Verma, S. (2023). Incorporating palmistry features into palmprint recognition systems. IEEE Transactions on Biometrics, Behavior, and Identity Science, 5(2), 101-112.
6. Patel, S., & Shah, M. (2024). Robust preprocessing techniques for palmprint recognition. IEEE Transactions on Image Processing, 33, 2345-2356.
7. Gupta, R., & Kumar, P. (2025). Large-scale palmprint datasets for deep learning models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(3), 567-578.
8. Wang, L., & Zhang, D. (2020). A survey of palmprint recognition techniques. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(6), 2345-2356.
9. Chen, Y., & Zhang, D. (2021). Palmprint recognition using deep convolutional neural networks. IEEE Transactions on Neural Networks and Learning Systems, 32(2), 345-356.
10. Liu, Y., & Zhang, D. (2022). Palmprint recognition using hybrid deep learning models. IEEE Transactions on Image Processing, 31, 1234-1245.
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