Offline Signature Verification Using Image Processing

A person’s signature is merely a handwritten sign that closely resembles his/her name, frequently stylized and distinctive, expresses the identity, intent, consent. Two types of verifications are present. They online verification offline verification. Generally, Offline Signature less efficient slower process compare to when come situation having larger number documents files verify with in time. Over years, many researchers have developed so methods for help people or organizations find whether particular person forged genuine. To overcome this problems; In paper we introduced simple method improve Image Processing using Convolution Neural Networks(CNN). Verification it used authenticate various kinds documents, including cheques, draughts, certificates, approvals, letters, other legal ones, such crucial preventing document forgery falsification. Previously, signature, was manually checked against copies real signatures. This straightforward approach might not be sufficient given fraud techniques becoming more sophisticated as result improving technology.