Multi-view Feature Learning Based on Texture Description for Palm-Print Recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-023-10729-1.pdf
Reference42 articles.
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2. Mokni, R., Hassen, D., & Monji, K. (2017). Combining shape analysis and texture pattern for palmprint identification. Multimedia Tools Application, 76, 23981–24008.
3. Zhang, L., Li, L., Yang, A., et al. (2017). Towards contactless palm print recognition: a novel device, a new benchmark, and a collaborative representation-based identification approach. Pattern Recognition, 69, 199–212.
4. Tabejamaat, M., & Mousavi, A. (2017). Concavity-orientation coding for palm print recognition. Multimedia Tools and Applications, 76(7), 9387–9403.
5. Li, G., & Kim, J. (2017). Palmprint recognition with local micro-structure tetra pattern. Pattern Recognition, 61, 29–46.
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