Handwritten Signature Verification and Detection of Forged Signatures |
Author(s): |
Archana A Pillai , Mount Zion College of Engineering, Pathanamthitta,Kerala; Ambi Rachel Alex, Mount Zion College of Engineering; Hari S, Mount Zion College of Engineering |
Keywords: |
Contourlet transform, DFB, LP, FDM, Canberra distance |
Abstract |
Handwritten signature verification and detection of forged signatures deals with verification of handwritten signatures and detection of forged signatures tasks. The proposed system involves the use of contourlet transform-based directional code co-occurrence matrix feature generation method. The proposed method offers a new framework for the handwritten signature verification in order to ensure the exact person or writer and detect the unauthorized signature if any person signs the forged signature more than one time. This procedure is based on writer-independent offline mode and does not require any forgery can be developed with a reduced number of reference signatures. |
Other Details |
Paper ID: IJSRDV5I30187 Published in: Volume : 5, Issue : 3 Publication Date: 01/06/2017 Page(s): 1128-1130 |
Article Preview |
|
|