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A statistical approach for off-line signature verification (SV)

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper includes off line Signature Verification (SV) process with test results using the proposed algorithm Particle Swarm Optimization-Neural Network (PSO-NN) together with statistical analysis, Chi-square test. The verification process is performed in four steps. Signature images are scanned (data acquisition) and image processing is applied to make images suitable for extracting features (pre-processing). Each pre-processed image is then used to extract relevant geometric parameters (feature extraction) that can distinguish signatures of different volunteers. Finally, the proposed verification algorithm is tested on the database that includes 1350 skilled and genuine signatures taken from 25 volunteers. The Chi-square test is applied to see how the signature data fits with probability test function.
Rocznik
Tom
Strony
33--39
Opis fizyczny
Bibliogr. 17 poz., rys., tab.
Twórcy
autor
  • Roketsan Company,Elmadađ-Ankara/TURKEY, Gaziantep University, Faculty of Engineering, Mechanical Eng. Dept. Gaziantep University, Faculty of Medicine, Forensic Science, Gaziantep/TURKEY
autor
autor
Bibliografia
  • [1] ARMAND S, BLUMENSTEIN M., and MUTHUKKUMARASAMY V “Off-line Signature verification Using an Enhanced Modified Direction Feature with Single and Multi- Classifier Approaches”, IEEE Comp. Int. Magazine, pp.18-25, 2007.
  • [2] BERNES J. W., “Statistical Analysis for Engineers and Scientists”, McGraw Hill, 7th Edition, 1994.
  • [3] DAS M.T, DÜLGER L.C.,‘ Off-line signature verification with PSO-NN algorithm’, 22nd Int. Symposium on Computer and Information Sciences- IEEE, Ankara-TURKEY, 2007.
  • [4] DAS M.T, DÜLGER L.C.,‘ Design and Implementation of a Questioned document Device and Automatic Signature Verification Toolbox’, 5th Summer School for Advanced Studies on Biometrics for Secure Authentication: Algero-Italy, June 2008.
  • [5] DAS M.T,, ‘Design and Implementation of Biometric Recognition using off-line signature analysis, Ph.D.Thesis, Gaziantep University, November- 2008.
  • [6] FERRER M.A, ALANSO J.B., TRAVESO M,‘Off line geometric parameters for automatic signature verification using fixed point arithmetic’, IEEE Trans on Pattern An. and Mach. Int., Vol. 27, No.6, pp.993-997,2005.
  • [7] HITCHCOCK D.C, ‘Evaluation and combination of Biometric Authentication Systems’, M.Sc.Thesis, University of Florida,2003.
  • [8] HOLMAN J. P., “Experimental Methods for Engineers”, McGraw Hill, 2001.
  • [9] JAIN A.K., PANKANTI S., PRAPHAKAR S., HONG L., ROSS A., WAYMAN J.L.,‘Biometrics: A Grand Challenge’, Pr. of Int. Conf. on Pattern Recognition, 2004.
  • [10] KALERA M.K., SRIHARI S., XU A., ’Off-line signature verification and identification using distance statistics’, Int. J. of Pattern Recognition and Artificial Intelligence, Vol.18, No.7, pp.1339-1360,2004.
  • [11] LIU X.Y and BLUMENSTEIN M., “Experimental Analysis of the Modified Direction Feature for Cursive Character Recognition”, Int. Workshop on the frontiers of Hand Writing Recognition, pp. 353-358, 2004.
  • [12] MADASU V.K., ’Automatic Bank Check Processing and Authentication using Signature Verification’, Ph.D.Thesis, Queensland University, Australia, 2006.
  • [13] PLAMONDON R., BRAULT J.J., ‘A complexity measure of handwritten curves: Modelling of Dynamic Signature Forgery’, IEEE Trans. On Systems, Man and Cybernetics, Vol.23, No.2, pp.400-413,1993.
  • [14] SRIVINASAN H., SRIHARI S.N., BEAL M. J., “Signature Verification using Kolmogorov Smirnov Statistics”, Proc. Int. Graphonomics Society Conference Salerno, pp. 152-156,2005.
  • [15] YANUSHKEVICH N., STOICA A., SRIHARI S.N., SHMERKO V.P., GAVRILOVA M.L., ‘Simulation of Biometric Information: The New Generation of Biometric systems’, Int. Workshop on Biometric Technologies, University of Calgary,- Alberta-Canada, p.1-12, 2004.
  • [16] http://www.bromba.com/faq/biofage.htm#Messgroessen
  • [17] www.physics.csbsju.edu/stats/KS-test.html
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0002-0008
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