Off-Line Signature Verification and Recognition
Signatures are composed of special characters and flourishes and therefore most of the time they can be unreadable. Also intrapersonal variations and interpersonal differences make it necessary to analyze them as complete images and not as letters and words put together. As signatures are the primary mechanism both for authentication and authorization in legal transactions, the need for research in efficient automated solutions for signature recognition and verification has increased in recent years. In this paper, an attempt is made to present an off-line signature verification and recognition system using the global, directional and grid features of signatures. As the recognition of signatures represents a multiclass problem. Before classification of signatures its features are extracted and database is maintained separately.