Devnagari Handwritten Signature Recognition Using Neural Network Год выпуска: 2012Автор: Shailendra Kumar DewanganИздательство: LAP Lambert Academic PublishingСтраниц: 124ISBN: 9783659265952Описание Handwritten signatures are considered as the most natural method of authenticating a person’s identity as compared to other biometric and cryptographic forms of authentication. The learning process inherent in Neural Networks can be applied to the process of verifying handwritten signatures that are electronically captured via a stylus. This work presents a method for verifying handwritten signatures by using Neural Networks architecture. Various features of signature such as height, length, slant, moment etc. are extracted and used to train the Network.
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Антон Спасибо большое за понимание, мои сокурсники на ваши консультвции не жалуются ) надеюсь управимся)
