An Automated System for Offline Signature Verification and Identification Using Delaunay Triangulation

Offline signature is being used in a range of applications. When a fraud person replicates our signature and takes our identity then problem arises. Signature verification has been identified as a main competitor in the search for a secure personal verification system. Offline signature system is based on the scanned image of the signature. The proposed methodology consists of signature database, preprocessing, feature extraction and recognition. The proposed signature system functions based on Delaunay triangulation of a given signature sample. The false acceptance rate (FAR) and false rejection rate (FRR) rate in the proposed method is relatively reduced. The signature for genuine person is accepted while the forged signature is rejected.