每年出版 12 期
ISSN 打印: 0040-2508
ISSN 在线: 1943-6009
Indexed in
Off-Line Signature Recognition Using Feature Extraction and Multilayer Neural Networks
摘要
The signature recognition is a topic of intensive research due to its great importance, among others, in the financial system. However it does not exist yet an enough reliable method for signature recognition and verification, especially in the forgeries detection. This paper presents an off-line signature recognition using features extracted from the off-line signature and an array of five multilayer perceptrons. The proposed system was evaluated using 950 signatures of 19 different persons. Experimental results show that proposed system achieves a fairly good recognition rate with a relatively low computational complexity.
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Jarad Mujahed, Al-Najdawi Nijad, Tedmori Sara, Offline handwritten signature verification system using a supervised neural network approach, 2014 6th International Conference on Computer Science and Information Technology (CSIT), 2014. Crossref