1. Handwritten signature authentication using MobileNets.
- Author
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Mohammed, Israa Bashir, Mahdi, Bashar Saadoon, and Kadhm, Mustafa S.
- Subjects
- *
CRIME , *CEDAR , *EVERYDAY life , *HANDWRITING , *NOISE - Abstract
The authenticated handwritten signatures play a critical role in many daily lives operations. Many organizations and banks around world depend on the handwritten signatures in their works. Forged signatures may cause big problems that lead to serious crimes. Therefore, in this work, a reliable handwritten signature authentication mechanism is proposed. The system employs an effective image preprocessing stage to improve the resolution of input handwritten signatures and eliminate any picture noise that could impact the system's outcomes. Besides, a modified MobileNets model architecture is used for the classification process by train input handwritten signatures image to identify the right writers of the desired signatures. The K Nearest Neighbor (KNN) is used of authentication process by matching the features of the trained handwritten signatures image and the testing once. The solution presented attained a 99.7% authentication rate when tested with the CEDAR dataset. [ABSTRACT FROM AUTHOR]
- Published
- 2025
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