Robust Identity Verification using Signature of a Person
N. D. Kapale, M.A. Joshi, Rashi Zope · 2013
Signature is a behavioral biometric: it is not based on the physical properties, such as fingerprint or face, of the individual, but behavioral ones. As such, one’s signature may change over time and it is not nearly as unique or difficult to forge as iris patterns or fingerprints, however signature’s widespread acceptance by the public, make it more suitable for certain lower-security authentication needs. In this work we present offline signature verification system. In off–line signature verification system involves less electronic equipment and the features for off-line verification are much simpler. As compared to online signature verification systems, offline systems are difficult to design as many desirable characteristics such as order of strokes, the velocity and the other dynamic information are not available in the offline case. The verification process has to wholly rely on the features that can be extracted from the trace of the static signature images only. Although difficult to design, offline signature verification is crucial for determining the writer identification as most of the financial transactions in present times are still carried out on paper. The most important advantage of off-line signature verification is that it is easy to implement and efficient in identification. Now days it is widely used in routine activities like banking transactions and access control. In our proposed method we consider the average values of horizontal and vertical projection profile histograms, horizontal and vertical centre of gravity of the signature, end points of the signature and signature area gives the crucial points to differentiate the person’s signature.