SIGNATURE FORGERY RECOGNITION

نویسندگان

چکیده

Signatures are one of the most important techniques for biometric authentication. There two kinds signature nowadays, offline(static) and dynamic (online). greater distinctive characteristics offline signatures, but there less signatures. Offline signatures also harder to check. Furthermore, significant downside is that even talented signer does not sign same way. This called Intra-personal variability. Both checking a difficult problem researchers. In this research, we proposed an verification approach based on Deep Learning prevent fraud by malicious individuals. Index Terms – Signature Recognition, Siamese Neural Network, , Contrastive loss, Euclidean Distance.

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ژورنال

عنوان ژورنال: Indian Scientific Journal Of Research In Engineering And Management

سال: 2023

ISSN: ['2582-3930']

DOI: https://doi.org/10.55041/ijsrem17704