A Statistical Approach for Off-Line Signature Verification Technique using DWT

S. Vasuki, R. Swetha

Abstract: Now a days, signature verification is an important research topic in the area of biometric authentication. Off-line signature verification takes as input the image of a signature and is useful in automatic verification of signatures found on banks, financial sectors and documents. In this paper, we proposed a off-line signature verification technique using Discrete Wavelet Transform (DWT). A statistical approach -- the coefficient of variation -- to detect the varying portions of the original and forgery signature images with the help of discrete wavelet transform technique is proposed

Keywords: coefficient of variation, discrete wavelet transform, signature, feature extraction

How to Cite?: S. Vasuki, R. Swetha, "A Statistical Approach for Off-Line Signature Verification Technique using DWT", Volume 9 Issue 6, June 2020, International Journal of Science and Research (IJSR), Pages: 1604-1606, https://www.ijsr.net/getabstract.php?paperid=SR20624103451, DOI: https://dx.doi.org/10.21275/SR20624103451