Off-line signature verification system using weighted complete bipartite graph

Handwritten signature is being used in various applications on daily basis. The problem arises when someone decides to imitate our signature and steal our identity. In different area these signature are verified by human being. But the outcomes depend on the ability of the person who performs this verification. Thus, there is a need for an automated system that can, with a great degree of certainty, identify the authorized person. This paper proposes a novel approach of signature verification. Firstly, the given signature is represented by a means of a graph, whose nodes and edges describe certain properties at sample points and relationship between points respectively. Then, graph matching techniques are introduced to compute the similarity of graph for the given signature with the graph information store in the database. This principle can be implemented off-line handwritten signature recognition systems. The system is compared with Global feature approach and gives satisfactory result.