Abstract
AbstractThe necessity to authenticate individuals is rapidly increasing day by day with the explosive growth of E-commerce, E-finance, PDA, etc. Handwritten signature is the most widely used and easiest way to verify a person. Online signature verification is a very active and hot topic in the field of biometric research. It is a potential candidate to replace traditional password-based security system as the password can be forgotten, stolen or guessed. Online signature verification deals with both spatial and temporal features of signature. Therefore, it is difficult to forge. This paper proposes a novel online signature verification technique using dynamic programming of string matching. The performance of the proposed approach is evaluated for both genuine signatures and skilled forgeries on SVC2004 database. The proposed approach produces a False Acceptance Rate (FAR) of 4.13% and False Rejection Rate (FRR) of 5.5% with an Equal Error Rate (ERR) of 5%.KeywordsPersonal authenticationOnline Signature VerificationE-commerceSVC2004False Acceptance Rate (FAR)False Rejection Rate (FRR)
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