Matrix-Based Hierarchical Graph Matching in Off-Line Handwritten Signatures Recognition

In this paper, a graph-based off-line handwritten signature verification system is proposed. The system can automatically identify some global and local features which exist within different signatures of the same person. Based on these features it is possible to verify whether a signature is a forgery or not. The structural description in the form of hierarchical attributed random graph set is transformed into matrix-vector structures. These structures can be directly used as matching pattern when examined signature is analyzed. The proposed approach can be applied to off-line signature verification systems especially for kanji-like or ideogram-based structurally complex signatures.