Hybrid Soft Computing Method with Neurogenitic Algorithm for Offline Handwritten Signature Detection
نویسندگان
چکیده
In the era of emergent technology, security is that the foremost anxiety to avoid replicas and counterfeits. There are diverse Biometric systems that enable in personal identification, amongst those verification systems, one system is Signature Verification System. Signatures are substantiated discrimination on-line and offline systems. Every human being has their own writing style and hence their signature is used in the financial domain for identity verification. So it is necessary to develop a technique which is efficient in verifying the Handwritten Signature is correct or forge. We have proposed Hybrid Soft Computing Method with NeuroGenitic Algorithm for Offline Handwritten Signature Detection. In which Feed Forward Back Propagation Neural Network is used with Genetic Algorithm for signature detection.
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