Handwritten Signature Verification Using Neural Network

---------------------------------------------------------------------***-------------------------------------------------------------------- Abstract One of the foremost difficulties in scheming Dynamic Handwritten Signature Verification system is to find the most distinguishing features with high perceptive capabilities for the verification, particularly, with regard to the high variability which is inherent in original handwritten signatures, coupled with the possibility of counterfeits by imitating having close resemblance to the original counterparts. This work presents a systematic approach to DSV using feed forward ANNs. This signature verification system using neural network for verification reduces the complexities in signature verification.