Verification of hand printed signature images using discrete dyadic wavelet transform

An off-line hand printed signature verification method is proposed to detect skilled forgeries of amateur type by using only two genuine signature templates of an individual. Almost all other techniques in the context of off-line signature verification need at least six genuine signature templates. It is very important to note that an individual signs only twice or thrice in the application form for opening an account with a bank. The aspect ratio and discrete dyadic wavelet transforms in 2
^j
scale of horizontal projection, vertical projection, right envelope, left envelope, top envelope and bottom envelope of the binary format of the genuine signatures are treated as the feature set of an individual. Based on these feature set the system verifies whether the signature is a forgery or not. The Dyadic wavelet used here is the quadratic spline of compact support. The matching is performed using a mixed method of correlation and distance calculation of the feature sets of genuine and skilled forgeries. Experimental results show an average verification rate of 81%.