Fusing deep and hand-crafted features by deep canonically correlated contractive autoencoder for offline signature verification
Handwritten signatures are currently the most widely used and recognized form of identity authorization, which is a significant way for individuals to express their identity to information. Since the forgers learn information about the genuine signatures from the target signer in advance, there are...
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| Published in: | Pattern recognition Vol. 168; p. 111834 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.12.2025
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| Subjects: | |
| ISSN: | 0031-3203 |
| Online Access: | Get full text |
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