Offline signature verification using grid based feature extraction

Abstract

Signature verification is one of the most widely used biometrics for authentication. This paper presents a novel approach for offline signature verification. The proposed technique is based on the grid features extraction. For verification, the extracted features of test signature are compared with the already trained features of the reference signature. This technique is suitable for various applications such as bank transactions, passports etc. The threshold used in the proposed technique can be dynamically changed according to the target application. Basically, the threshold here is the security level which the user can input as per his requirement. The proposed technique deals with skilled forgeries and has been tested on two databases: Database A and a standard Database B (Set 1 and Set 2). The proposed technique gives FAR of 9.7% and FRR of 17.9% for Database A, FAR of 12.6% and FRR of 10.2% for Database B (Set 1) and FAR of 13.5% and FRR of 10.8% for Database B (Set 2) which is better than many existing verification techniques.