Offline Signature Verification Using SVM Method and DWT-Gabor Filter Feature Extraction

Rashika Shrivastava; Brajesh Kumar Shrivash; Neeraj Mandhan

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25-Feb-26

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Offline Signature Verification Using SVM Method and DWT-Gabor Filter Feature Extraction

Author(s):

Rashika Shrivastava , GITS, Gwalior; Brajesh Kumar Shrivash, GITS, Gwalior; Neeraj Mandhan , GITS, Gwalior

Keywords:

Signature Verification, Wavelet Transform, GLDM, Gabor Filter, SVM

Abstract:

The human signature is an important biometric attribute that canbe used to validate person identity. Although signatures of human is considered as an image and recognized using signature techniques.In which offline signature is challenging task in pattern recognition. In this paper we proposed and applied offline signature Recognition using Support Vector Machine (SVM) approach. We extract signature features using Discrete wavelet transform, Gabor filter. The proposed techniques works in three form: In first case Pre-processing: where binarization, filling holes and fitting limit box is done to make signatures prepared for feature extraction then Feature extraction: where Gabor filter based projection elements are extracted which are utilized to recognize the distinctive signatures. Finally signature verification and designing Support Vector Machine (SVM) as classifier to recognize signature. The experiments results were evaluated in Matlab 2012 with 110 signatures of 10 persons.