International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 87

Research Paper | Computer and Mathematical Sciences | India | Volume 9 Issue 6, June 2020


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

S. Vasuki | R. Swetha [8]


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


Edition: Volume 9 Issue 6, June 2020,


Pages: 1604 - 1606


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How to Cite this Article?

S. Vasuki, R. Swetha, "A Statistical Approach for Off-Line Signature Verification Technique using DWT", International Journal of Science and Research (IJSR), Volume 9 Issue 6, June 2020, pp. 1604-1606, https://www.ijsr.net/get_abstract.php?paper_id=SR20624103451

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