ANN based Signature Verification System |
Author(s): |
| Priyanka Shivaji Katare , Prof. Ram meghe college of engineering and management,badnera; Prof. Dr. Swapnil B. Mohod, Prof.Ram meghe college of engineering and management,Badnera |
Keywords: |
| ANN, Offline Signature Verification, Feature Extractions, Pre Image Processing |
Abstract |
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Now a days security is the most important thing. Everywhere we saw personalization of the each things. There is unique identity provide through the signature. we use for the uniqueness as our ID proof, voting card, pan card etc. at the same time the secondary part of the each person uniqueness is signature, figure print, voice, heart sound, iris recognition, palm print etc., In this pepper we verify the signatures and provide its security. We know that there is professional forgeries they can missuses your signature. In bank transactions, cheques, legal documents, fax money transfer, entry application, and password substitution we need to sign for completion of these processes. For the signature security we use the feature extractions, image processing and neural network. The experimentation of the proposed system will perform the offline signature verification and detection. If the stored data of signature will match with the input signature then it will be successfully verify and detected by itself.as the same time we highly provide security of the signature using artificial neural network (ANN). |
Other Details |
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Paper ID: IJSRDV5I90503 Published in: Volume : 5, Issue : 9 Publication Date: 01/12/2017 Page(s): 843-846 |
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