A Novel Approach for Signature Verification using Artificial Neural Network

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Provided by: International Journal of Engineering and Advanced Technology (IJEAT)
Topic: Security
Format: PDF
In this paper the authors present a new technique for off-line signature verification and recognition. The proposed system is based on morphological features (shape features). Feature extraction stage is the most essential and difficult stage of any off-line signature verification system. The accuracy of the system depends mainly on the effectiveness of the signature features use in the system. The present research work incorporates a novel feature extraction technique for off-line signature verification system. There are nine features extracted from a static image of signatures using this technique.
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