Call For Paper Volume:4 Issue:10 Oct'2017 |

Proposed Method for Off-line Signature Recognition and Verification using Neural Network

Publication Date : 30/11/2014



Author(s) :

Dhananjay S. Rakshe , Dhananjay S. Rakshe1, Prof. D.B. Kshirsagar.


Volume/Issue :
Volume 1
,
Issue 5
(11 - 2014)



Abstract :

Computers have become common and are used in almost every field including financial transactions, thus providing additional security measures is necessary. According to consumer’s expectations, these security measures must be cheap, reliable and un-intrusive to the authorized person. The technique which meets these requirements is handwritten signature verification. Signature verification technique has advantage over other biometric techniques: including voice, iris, fingerprint, palm etc. as it is mostly used for daily routine procedures link banking operations, document analysis, electronic funds transfer, access control and many other. Most importantly, it’s easy and people are less likely to object it. Proposed technique involves using a new approach that depends on a neural network which enables the user to recognize whether a signature is original or a fraud. Scanned images are introduced into the computer, their quality is modified with the help of image enhancement and noise reduction techniques, specific features are extracted and neural network is trained, The different stages of the process includes: image pre-processing, feature extraction and pattern recognition through neural networks.


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Proposed Method for Off-line Signature Recognition and Verification using Neural Network

December 4, 2014