Machine learning-based offline signature verification systems: A systematic review
The offline signatures are the most widely adopted biometric authentication techniques in banking systems, administrative and financial applications due to its simplicity and uniqueness. Several automated techniques have been developed to anticipate the genuineness of the offline signature. However,...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Elsevier
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/26532/ |
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