Title: A new system for offline signature identification and verification

Authors: Samaneh Ghandali; Mohsen Ebrahimi Moghaddam; Mohammad Javad Khosravi

Addresses: Electrical and Computer Engineering Department, Tehran University, Tehran 14399-515, Iran ' Electrical and Computer Engineering Department, Shahid Beheshti University G.C, Tehran 1983963113, Iran ' Electrical and Computer Engineering Department, Isfahan University, Isfahan 73441-817467, Iran

Abstract: Biometric features have great importance in authentication systems nowadays. One of the most important and conventional biometrics is signature. In this paper, we proposed a system which has two independent phases for offline signature identification and verification. The identification phase is based on Triangular Spatial Relationship (TSR) that is a rotation invariant feature extraction method. Also, a symbolic representation of signature has been employed to make using TSR possible. In the verification phase, a hybrid method is proposed that combines Discrete Wavelet Transform (DWT), Gabor filter, and image fusion methods. Experimental results on some benchmarks have confirmed the robustness and precision of proposed method together with its robustness against translation, scaling, and rotation.

Keywords: offline signature identification; offline signature verification; TSR; triangular spatial relationship; DWT; discrete wavelet transform; Gabor; image fusion; biometrics; authentication systems; feature extraction; rotation invariant features.

DOI: 10.1504/IJSISE.2012.047785

International Journal of Signal and Imaging Systems Engineering, 2012 Vol.5 No.2, pp.123 - 131

Received: 02 Sep 2011
Accepted: 12 Jan 2012
Published online: 31 Dec 2014 *

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