Home   >   CSC-OpenAccess Library   >    Manuscript Information
Full Text Available

This is an Open Access publication published under CSC-OpenAccess Policy.
Publications from CSC-OpenAccess Library are being accessed from over 158 countries worldwide.
Offline Handwritten Signature Identification and Verification using Multi-Resolution Gabor Wavelet
Mohamad Hoseyn Sigari, Muhammad Reza Pourshahabi, Hamid Reza Pourreza
Pages - 234 - 248     |    Revised - 01-09-2011     |    Published - 05-10-2011
Volume - 5   Issue - 4    |    Publication Date - September / October 2011  Table of Contents
Signature Identification, Signature Verification, Multi-resolution Analysis, Gabor Wavelet, Nearest Neighbour
In this paper, we are proposing a new method for offline (static) handwritten signature identification and verification based on Gabor wavelet transform. The whole idea is offering a simple and robust method for extracting features based on Gabor Wavelet which the dependency of the method to the nationality of signer has been reduced to its minimal. After pre-processing stage that contains noise reduction and signature image normalisation by size and rotation, a virtual grid is placed on the signature image. Gabor wavelet coefficients with different frequencies and directions are computed on each points of this grid and then fed into a classifier. The shortest weighted distance has been used as the classifier. The weight that is used as the coefficient for computing the shortest distance is based on the distribution of instances in each of signature classes. As it was pointed out earlier, one of the advantages of this system is its capability of signature identification and verification of different nationalities; thus it has been tested on four signature dataset with different nationalities including Iranian, Turkish, South African and Spanish signatures. Experimental results and the comparison of the proposed system with other systems are consistent with desirable outcomes. Despite the use of the simplest method of classification i.e. the nearest neighbour, the proposed algorithm in comparison with other algorithms has very good capabilities. Comparing the results of our system with the accuracy of human\'s identification and verification, it shows that human identification is more accurate but our proposed system has a lower error rate in verification.
CITED BY (23)  
1 Ooi, S. Y., Teoh, A. B. J., Pang, Y. H., & Hiew, B. Y. (2016). Image-based handwritten signature verification using hybrid methods of discrete Radon transform, principal component analysis and probabilistic neural network. Applied Soft Computing, 40, 274-282.
2 KUMALASANTI, R. A. (2015).identifikasi dan verifikasi tanda tangan statik menggunakan backpropagation dan alihragam wavelet (Doctoral dissertation, UAJY).
3 Joon, M. D., & Kikon, M. S. An analytical approach towards Offline Handwritten Signatures Verification using Wavelets transforms and other relevant techniques.
4 Widodo, A. W., & Harjoko, A. (2015). Sistem verifikasi tanda tangan off-line berdasar ciri histogram of oriented gradient (hog) dan histogram of curvature (HoC). Jurnal Teknologi Informasi dan Ilmu Komputer, 2(1).
5 Kumar, M. M., & Puhan, N. B. (2014, February). Offline signature verification using the trace transform. In Advance Computing Conference (IACC), 2014 IEEE International (pp. 1066-1070). IEEE.
6 Neamah, K., Mohamad, D., Saba, T., & Rehman, A. (2014). Discriminative features mining for offline handwritten signature verification. 3D Research, 5(1), 1-6.
7 Angadi, S. A., Gour, S., & Bhajantri, G. (2014, January). Offline Signature Recognition System Using Radon Transform. In Signal and Image Processing (ICSIP), 2014 Fifth International Conference on (pp. 56-61). IEEE.
8 Ali, R. (2014). Ensemble classification and signal image processing for genus Gyrodactylus (Monogenea).
9 Lee, Y. (2014). Real-Time Mobile Gesture-Based Authentication.
10 Sulong, G., Ebrahim, A. Y., & Jehanzeb, M. Offline Signature Verification Using Window Based Techniques.
11 Lapina, T. I., Lapin, D. V., & Petrik, E. A. (2014). A New Approach to the Handwritten Signature Verification Based on the Method of the Normalized Distributions. International Review on Computers and Software (IRECOS), 9(11), 1896-1903.
12 Sulong, G., Ebrahim, A. Y., & Jehanzeb, M. (2014). Offline handwritten signature identification using adaptive window positioning techniques. arXiv preprint arXiv:1407.2700.
13 Patil, P. G., & Hegadi, R. S. Classification of Offline Handwritten Signatures using Wavelets and a Pattern Recognition Neural Network.
14 Fazli, S., Pouyan, S., & Moghaddam, M. (2014). High-Performance Signature Recognition Method using SVM. International Journal of Advanced Studies in Computers, Science and Engineering, 3(11), 16.
15 Zouari, R., Mokni, R., & Kherallah, M. (2014, November). Identification and verification system of offline handwritten signature using fractal approach. In Image Processing, Applications and Systems Conference (IPAS), 2014 First International (pp. 1-4). IEEE.
16 Daramola, S. A., Badejo, J., Samuel, I., & Sokunbi, T. (2014, January). Vertical Off-line Signature Feature Block for Verification. In Recent Advances in Circuits, Systems, Signal Processing and Communication, 8th World Scientist Engineering Academy and Society (WSEAS) International Conference on Circuits, Systems, Signal and Telecommunications (CSST'14
17 Mahanta, L. B., & Deka, A. (2013). A Study on Handwritten Signature. International Journal of Computer Applications, 79(2), 48-52.
18 Moolla, Y., Viriri, S., Nelwamondo, F., & Tapamo, J. R. (2013). Offline signature verification using locally optimized distance-based classification. South African Computer Journal, 50, 15-27.
19 Shekara, B. H., & Bharathib, R. K. DCT-MLP based approach for Off-line Signature Verification.
20 Foroozandeh, A., Akbari, Y., Jalili, M. J., & Sadri, J. (2012, September). Persian Signature Verification Based on Fractal Dimension Using Testing Hypothesis. In Frontiers in Handwriting Recognition (ICFHR), 2012 International Conference on (pp. 313-318). IEEE.
21 Foroozandeh, A., Akbari, Y., Jalili, M. J., & Sadri, J. (2012). A novel and practical system for verifying signatures on Persian handwritten bank checks. International Journal of Pattern Recognition and Artificial Intelligence, 26(06), 1256014.
22 Ravi, J., & Raja, K. B. Concatenation of Spatial and Transformation Features for Off-Line signature Identification. International Journal of Innovative Technology and Exploring Engineering, 1, 102-108.
23 Utami, E., & Wulanningrum, R. Penggunaan Principal Component Analysis danEuclidean Distance untuk Identifikasi Citra Tanda Tangan Use of Principal Component Analysis and Euclidean Distance to Identify Signature Image.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 iSEEK 
5 Scribd 
6 SlideShare 
7 PdfSR 
1 Y. Gu, "Approaching Real Time Dynamic Signature Verification from a Systems and Control Perspective", M.Sc Thesis, University of the Witwatersrand, Johannesburg, 2003.
2 Weiping Hou, Xiufen Ye, Kejun Wang, "A Survey of Off-Line Signature Verification", International Conferenlce on intelligent Mechatronics and Automation, Chengdu, China pp. 536-541, August, 2004.
3 Edson J. R. Justino, Fla´vio Bortolozzi, Robert Sabourin, "A comparison of SVM and HMM classifiers in the off-line signature verification", Elsevier Pattern Recognition Letters, vol. 26, no. 9, pp. 1377-1385, 2004.
4 E. Frias-Martinez, A. Sanchez, J. Velez, "Support Vector Machines versus Multi-Layer Perceptrons for Efficient Off-Line Signature Recognition", Engineering Applications of Artificial Intelligence, vol. 19, no. 6, pp. 693-704, September, 2006.
5 Emre Ozgunduz, Tulin Senturk, M. Elif Karsligil, "Off-Line Signature Verification and Recognition by Support Vector Machine", European Signal Processing Conference, Antalya, Turkey, pp., September, 2005.
6 Meenakshi K. Kalera, Sargur Sriharly, Alhua Xu, "Offline Signature Verification and Identification Using Distance Statistics", International Journal of Pattern Recognition and Artificial Intelligence, vol. 18, no. 7, pp. 1339-1360, 2004.
7 Peter Shaohua Deng, Hong–Yuan Mark Liao, Chin Wen Ho, Hsiao–Rong Tyan, "Wavelet–based Off–line Signature Verification", Computer Vision and Image Understanding, vol. 76, no. 3, pp. 173-190, 1997.
8 Ben Herbst, Hanno Coetzer, "On An Offline Signature Verification System", 9th Annual South African Workshop on Pattern Recognition, pp. 39-43, 1998.
9 J. Coetzer, B.M. Herbst, J.A.Du Preez, "Offline Signature Verification Using the Discrete Radon Transform and a Hidden Markov Model", Eurasip Journal on Applied Signal Processing, vol. 4, pp. 559–571, 2004.
10 Miguel A. Ferrer, Jesu´s B. Alonso, Carlos M. Travieso, "Offline Geometric Parameters for Automatic Signature Verification Using Fixed-Point Arithmetic", IEEE Transactions On Pattern Analysis And Machine Intelligence, vol. 27, no. 6, pp. 993-997, June, 2005.
11 Vahid Kiani, Reza Pourreza, Hamid Reza Pourreza, "Offline Signature Verification Using Local Radon Transform and Support Vector Machines", International Journal of Image Processing, vol. 3, no. 5, pp. 184-194, 2009.
12 Muhammad Reza Pourshahabi, Mohamad Hoseyn Sigari, Hamid Reza Pourreza, "Offline Handwritten Signature Identification and Verification Using Contourlet Transform", International Conference of Soft Computing and Pattern Recognition, Malacca, Malaysia, pp. 670-673, December, 2009.
13 N. Otsu, "A Threshold Selection Method form Gray-Level Histograms", IEEE Transaction on Systems, Man and Cybernetics, vol. 9, no. 1, 1979.
14 FUM-PHSDB: The FUM-Persian Handwritten Signature Database, Available on: mvlab.um.ac.ir, Last-Access: February 2011.
15 Seyedeh Zahra Mohamadi, "Static Persian Signature Recognition", Bachelor of Science Thesis, Electrical Engineering Department, Ferdowsi University of Mashhad, Mashhad, 2006.
16 Maximilian Riesenhuber, Tomaso Poggio, "Hierarchical Models of Object Recognition in Cortex", Nature Neuroscience, vol. 2, no. 11, pp. 1019-1025, 1999.
Dr. Mohamad Hoseyn Sigari
Ferdowsi University of Mashhad - Iran
Mr. Muhammad Reza Pourshahabi
- Iran
Associate Professor Hamid Reza Pourreza
- Iran