Case Studies on Neural Networks for Recognition in Biometric Identity Problem
Hand-dorsa vein recognition using a convolutional neural network is presented. Our network contains five convolutional layers and three full connected layers, which have high recognition and more robust. The experimental results on the self-established database with the proposed CNN achieves 98.02%...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Bulgarian Academy of Sciences
2021-03-01
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| Series: | International Journal Bioautomation |
| Subjects: | |
| Online Access: | http://www.biomed.bas.bg/bioautomation/2021/vol_25.1/files/25.1_01.pdf |