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On-Line Signature Verification

  • Julian Fierrez
  • Javier Ortega-Garcia

Keywords

Hide Markov Model Dynamic Time Warping Biometric System Training Signature Automatic Signature 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. F. Alonso-Fernandez, J. Fierrez-Aguilar, H. Fronthaler, K. Kollreider, J. Ortega-Garcia, J. Gonzalez-Rodriguez, and J. Bigun. Combining multiple matchers for fingerprint verification: A case study in Biosecure Network of Excellence. Annals of Telecommunications, 62(1-2):62–82, 2007.Google Scholar
  2. F. Alonso-Fernandez, J. Fierrez-Aguilar, J. Ortega-Garcia, and J. Gonzalez-Rodriguez. A web-based secure access system using signature verification over Tablet PC. IEEE Aerospace and Electronic Systems Mag., 22:3–8, 2007.CrossRefGoogle Scholar
  3. ATVS. Biometric Recognition Group, 2006. (http://atvs.ii.uam.es/).Google Scholar
  4. R. Baron and R. Plamondon. Acceleration measurement with an instrumented pen for signature verification and handwriting analysis. IEEE Trans. on In-strum. Measurement, 38(6):1132–1138, 1989.CrossRefGoogle Scholar
  5. E. S. Bigun, J. Bigun, B. Duc, and S. Fischer. Expert conciliation for multi modal person authentication systems by Bayesian statistics. In Proc. of AVBPA, pages 291–300. Springer LNCS-1206, 1997.Google Scholar
  6. Biosecure, 2007. Biometrics for Secure Authentication, FP6 NoE IST-2002507634. (http://www.biosecure.info/).Google Scholar
  7. J. Brault and R. Plamondon. A complexity measure of handwritten curves: Modeling of dynamic signature forgery. IEEE Trans. on SMC, 23(2):400–413, 1993.Google Scholar
  8. G. Chollet, G. Aversano, B. Dorizzi, and D. Petrovska-Delacretaz. The 1st Biosecure residential workshop. In Proc. of ISPA, pages 251–256. IEEE, 2005.Google Scholar
  9. CIC. (http://www.cic.com/).Google Scholar
  10. CYBERSIGN. (http://www.cybersign.com/).Google Scholar
  11. J. G. A. Dolfing, E. H. L. Aarts, and J. J. G. M. van Oosterhout. On-line signature verification with Hidden Markov Models. In Proc. of ICPR, pages 1309–1312. IEEE CS Press, 1998.Google Scholar
  12. B. Dumas, J. Hennebert, et al. MyIdea-Sensors specifications and acquisition protocol. Computer Science Department Research Report DIUF-RR 2005.01, University de Fribourg, Switzerland, January 2005.Google Scholar
  13. M. Fairhurst and P. Brittan. An evaluation of parallel strategies for feature vector construction in automatic signature verification systems. Intl. J. of Pattern Recog. and Art. Intell., 8(3):661–678, 1994.CrossRefGoogle Scholar
  14. M. Fairhurst, E. Kaplani, and R. Guest. Complexity measures in handwritten signature verification. In Proc. 1st Int. Conf. on Universal Access in Human-Computer Interaction, pages 305–309, 2001.Google Scholar
  15. M. C. Fairhurst. Signature verification revisited: Promoting practical exploitation of biometric technology. IEE Electronics and Communication Engineering Journal, 9(6):273–280, 1997.CrossRefGoogle Scholar
  16. M. Faundez-Zanuy. On-line signature recognition based on VQ-DTW. Pattern Recognition, 40:981–992, 2007.MATHCrossRefGoogle Scholar
  17. M. Faundez-Zanuy, J. Fierrez-Aguilar, J. Ortega-Garcia, and J. Gonzalez-Rodriguez. Multimodal biometric databases: An overview. IEEE Aerospace and Electronic Systems Magazine, 21(8):29–37, 2006.CrossRefGoogle Scholar
  18. J. Fierrez. The Biosecure multimodal biometric database. In Biosecure Research Project Workshop, Vigo, Spain, September 2005. (http://www.gts.tsc.uvigo.es/BioSecureWorkshop/).Google Scholar
  19. J. Fierrez, J. Ortega-Garcia, D. Ramos, and J. Gonzalez-Rodriguez. Hmm-based on-line signature verification: Feature extraction and signature modeling. Pattern Recognition Letters, 2007. (to appear).Google Scholar
  20. J. Fierrez-Aguilar. Adapted Fusion Schemes for Multimodal Biometric Authentication. PhD thesis, Universidad Politecnica de Madrid, 2006.Google Scholar
  21. J. Fierrez-Aguilar, N. Alonso-Hermira, G. Moreno-Marquez, and J. Ortega-Garcia. An ofi-line signature verification system based on fusion of local and global information. In Proc. BIOAW, pages 295–306. Springer LNCS-3087, 2004.Google Scholar
  22. J. Fierrez-Aguilar, S. Krawczyk, J. Ortega-Garcia, and A. K. Jain. Fusion of local and regional approaches for on-line signature verification. In Proc. of IWBRS, pages 188–196. Springer LNCS-3781, 2005.Google Scholar
  23. J. Fierrez-Aguilar, L. Nanni, J. Lopez-Penalba, J. Ortega-Garcia, and D. Maltoni. An on-line signature verification system based on fusion of local and global information. In Proc. of AVBPA, pages 523–532. Springer LNCS-3546, 2005.Google Scholar
  24. J. Fierrez-Aguilar, J. Ortega-Garcia, and J. Gonzalez-Rodriguez. Target dependent score normalization techniques and their application to signature verification. IEEE Trans. on SMC-C, 35(3):418–425, 2005.Google Scholar
  25. M. Freire-Santos, J. Fierrez-Aguilar, and J. Ortega-Garcia. Cryptographic key generation using handwritten signature. In Proc. of SPIE, volume 6202, pages 225–231, 2006.Google Scholar
  26. S. Garcia-Salicetti et al. BIOMET: A multimodal person authentication database including face, voice, fingerprint, hand and signature modalities. In Proc. of AVBPA, pages 845–853. Springer LNCS-2688, 2003.Google Scholar
  27. S. Garcia-Salicetti, J. Fierrez-Aguilar, F. Alonso-Fernandez, C. Vielhauer, R. Guest, L. Allano, T. Doan Trung, T. Scheidat, B. Ly Van, J. Dittmann, B. Dorizzi, J. Ortega-Garcia, J. Gonzalez-Rodriguez, and M. Bacile di Castiglione. Biosecure reference systems for on-line signature verification: A study of complementarity. Annals of Telecommunications, 62(1-2):36–61, 2007.Google Scholar
  28. J. Gonzalez-Rodriguez, J. Fierrez-Aguilar, D. Ramos-Castro, and J. Ortega-Garcia. Bayesian analysis of fingerprint, face and signature evidences with automatic biometric systems. Forensic Science Intl., 155(2-3):126–140, 2005.CrossRefGoogle Scholar
  29. G. Gupta and R. Joyce. A study of some pen motion features in dynamic handritten signature verification. Technical report, Dept. of Computer Science, James Cook University, Townsville, Australia, 1997.Google Scholar
  30. N. Herbst and C. Liu. Automatic signature verification based on accelerometry. IBM J. Res. Dev., pages 245–253, 1977.Google Scholar
  31. O. Hilton. Signatures-review and a new view. J. of Forensic Sciences, 37(1):125–129, 1992.Google Scholar
  32. Y. Hongo, D. Muramatsu, and T. Matsumoto. Adaboost-based on-line signature verifier. In Proc. of SPIE, volume 5779, pages 373–380, 2005.Google Scholar
  33. C. Hook, J. Kempf, and G. Scharfenberg. A novel digitizing pen for the analysis of pen pressure and inclination in handwriting biometrics. In Proc. of BIOAW, pages 283–294. Springer LNCS-3087, 2004.Google Scholar
  34. ID-House. (http://www.idhouse.com/mmperiph.htm).Google Scholar
  35. J. Igarza, L. Gomez, I. Hernaez, and I. Goirizelaia. Searching for an optimal reference system for on-line signature verification based on (x,y) alignment. In Proc. of ICBA, pages 519–525. Springer LNCS-3072, 2004.Google Scholar
  36. J. J. Igarza, I. Hernaez, I. Goirizelaia, K. Espinosa, and J. Escolar. Ofi-line signature recognition based on dynamic methods. In Proc. of SPIE, volume 5779, pages 336–343, 2005.CrossRefGoogle Scholar
  37. International Biometric Group. Biometrics market and industry report (http://www.biometricgroup.com/).Google Scholar
  38. A. K. Jain, F. D. Griess, and S. D. Connell. On-line signature verification. Pattern Recognition, 35(12):2963–2972, 2002.MATHCrossRefGoogle Scholar
  39. A. K. Jain, K. Nandakumar, and A. Ross. Score normalization in multimodal biometric systems. Pattern Recognition, 38:2270–2285, 2005.CrossRefGoogle Scholar
  40. A. K. Jain and D. Zongker. Feature selection: Evaluation, application, and small sample performance. IEEE Trans. on PAMI, 19(2):153–158, 1997.Google Scholar
  41. R. S. Kashi, J. Hu, W. L. Nelson, and W. Turin. On-line handwritten signature verification using Hidden Markov Model features. In Proc. of ICDAR, volume 1, pages 253–257. IEEE CS Press, 1997.Google Scholar
  42. H. Ketabdar, J. Richiardi, and A. Drygajlo. Global feature selection for online signature verification. In Proc. of 12th International Graphonomics Society Conference, 2005.Google Scholar
  43. A. Kholmatov and B. Yanikoglu. Identity authentication using improved online signature verification method. Pattern Recog. Letters, 26(15):2400–2408, 2005.CrossRefGoogle Scholar
  44. J. Kittler, M. Hatef, R. Duin, and J. Matas. On combining classifiers. IEEE Trans. on PAMI, 20(3):226–239, 1998.Google Scholar
  45. F. Leclerc and R. Plamondon. Automatic signature verification: The state of the art, 1989–1993. Intl. Jour. of Pattern Rec. and Artificial Intell., 8(3):643–660, 1994.CrossRefGoogle Scholar
  46. L. Lee. On-Line Systems for Human Signature Verification. PhD thesis, Cornell University, 1992.Google Scholar
  47. L. L. Lee, T. Berger, and E. Aviczer. Reliable on-line human signature verification systems. IEEE Trans. on PAMI, 18(6):643–647, 1996.Google Scholar
  48. H. Lei and V. Govindaraju. A comparative study on the consistency of features in on-line signature verification. Pattern Recog. Letters, 26(15):2483–2489, 2005.CrossRefGoogle Scholar
  49. B. Li, D. Zhang, and K. Wang. On-line signature verification based on NCA (Null Component Analysis) and PCA (Principal Component Analysis). Pattern Analysis and Application, 8:345–356, 2006.CrossRefMathSciNetGoogle Scholar
  50. A. Mauceri. Feasibility studies of personal identification by signature verification. Technical Report SID 65 24 RADC TR 65 33, Space and Information System Division, American Aviation Co, Anaheim, California, 1965.Google Scholar
  51. M. E. Munich and P. Perona. Visual identification by signature tracking. IEEE Trans. on PAMI, 25(2):200–217, 2003.Google Scholar
  52. D. Muramatsu, M. Kondo, M. Sasaki, S. Tachibana, and T. Matsumoto. A Markov chain Monte Carlo algorithm for Bayesian dynamic signature verification. IEEE Trans. on IFS, 1(1):22–34, 2006.Google Scholar
  53. V. S. Nalwa. Automatic on-line signature verification. Proc. of the IEEE, 85(2):215–239, 1997.Google Scholar
  54. L. Nanni and A. Lumini. Advanced methods for two-class problem formulation for on-line signature verification. Neurocomputing, 69:854–857, 2006.CrossRefGoogle Scholar
  55. E.-M. Nel, J. A. du Preez, and B. M. Herbst. Estimating the pen trajectories of static signatures using hidden markov models. IEEE Trans. on PAMI, 27(11):1733–1743, 2005.Google Scholar
  56. W. Nelson and E. Kishon. Use of dynamic features for signature verification. In Proc. of the IEEE Intl. Conf. on Systems, Man, and Cybernetics, volume 1, pages 201–205, 1991.Google Scholar
  57. W. Nelson, W. Turin, and T. Hastie. Statistical methods for on-line signature verification. Intl. J. of Pattern Recog. and Artif. Intell., 8(3):749–770, 1994.CrossRefGoogle Scholar
  58. NIST. (http://www.itl.nist.gov/iad/894.03/fing/fing.html).Google Scholar
  59. J. Ortega-Garcia, J. Bigun, D. Reynolds, and J. Gonzalez-Rodriguez. Authentication gets personal with biometrics. IEEE Signal Processing Magazine, 21(2):50–62, 2004.CrossRefGoogle Scholar
  60. J. Ortega-Garcia, J. Fierrez-Aguilar, et al. MCYT baseline corpus: a bimodal biometric database. IEE Proc. Vision, Image and Signal Processing, 150(6):391– 401, 2003.Google Scholar
  61. J. Ortega-Garcia, J. Fierrez-Aguilar, J. Martin-Rello, and J. Gonzalez-Rodriguez. Complete signal modeling and score normalization for function-based dynamic signature verification. In Proc. of AVBPA, pages 658–667. Springer LNCS-2688, 2003.Google Scholar
  62. A. Osborn. Questioned Documents. Boyd Printing Co, Albany, NY, 1929.Google Scholar
  63. A. Pacut and A. Czajka. Recognition of human signatures. In Proc. of IJCNN, volume 2, pages 1560–1564, 2001.Google Scholar
  64. J. M. Pascual and V. Cardenoso. Automatic on-line signature verification based on HMMs with user dependent structure. Technical Report IT-DI-2006-1, Dept. of Computer Science, Universidad de Valladolid, Valladolid, Spain, 2006.Google Scholar
  65. R. Phelps. A holistic approach to signature verification. In Proc. of ICPR, page 1187, 1982.Google Scholar
  66. R. Plamondon and G. Lorette. Automatic signature verification and writer identification: The state of the art. Pattern Recognition, 22(2):107–131, 1989.CrossRefGoogle Scholar
  67. R. Plamondon and S. N. Srihari. On-line and ofi-line handwriting recognition: A comprehensive survey. IEEE Trans. PAMI, 22(1):63–84, 2000.Google Scholar
  68. M. Rejman-Greene. Biometric Systems: Technology, Design and Performance Evaluation, chapter Privacy Issues in the Application of Biometrics: A European Perspective, pages 335–359. Springer, 2005.Google Scholar
  69. J. Richiardi and A. Drygajlo. Gaussian Mixture Models for on-line signature verification. In Proc. of ACM SIGMM Workshop on Biometric Methods and Applications, pages 115–122, 2003.Google Scholar
  70. A. Ross, K. Nandakumar, and A. K. Jain. Handbook of Multibiometrics. Springer, 2006.Google Scholar
  71. D. Sakamoto, H. Morita, T. Ohishi, Y. Komiya, and T. Matsumoto. On-line signature verification algorithm incorporating pen position, pen pressure and pen inclination. In Proc. of ICASSP, volume 2, pages 993–996, 2001.Google Scholar
  72. SC37, 2005. ISO/IEC JTC 1/SC 37. (http://www.jtc1.org/sc37/).Google Scholar
  73. SOFTPRO. (http://www.signplus.com/).Google Scholar
  74. SVC. (http://www.cs.ust.hk/svc2004/).Google Scholar
  75. S. Theodoridis and K. Koutroumbas. Pattern Recognition. Academic Press, 2003.Google Scholar
  76. C. M. Travieso, J. B. Alonso, and M. A. Ferrer. Ofi-line geometric parameters for automatic signature verification using fixed point arithmetic. IEEE Trans. on PAMI, 27(8):993–997, 2005.Google Scholar
  77. U. Uludag, A. Ross, and A. K. Jain. Biometric template selection and update: A case study in fingerprints. Pattern Recognition, 37(7):1533–1542, 2004.CrossRefGoogle Scholar
  78. B. Ly Van, S. Garcia-Salicetti, and B. Dorizzi. Fusion of HMM’s likelihood and Viterbi path for on-line signature verification. In Proc. of BIOAW, pages 318–331. Springer LNCS-3087, 2004.Google Scholar
  79. WACOM. (http://www.wacom.com/).Google Scholar
  80. L. Yang, B. K. Widjaja, and R. Prasad. Application of Hidden Markov Models for signature verification. Pattern Recognition, 28(2):161–170, 1995.CrossRefGoogle Scholar
  81. D. Y. Yeung, H. Chang, Y. Xiong, S. George, R. Kashi, T. Matsumoto, and G. Rigoll. SVC2004: First International Signature Verification Competition. In Proc. of ICBA, pages 16–22. Springer LNCS-3072, 2004.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Julian Fierrez
    • 1
  • Javier Ortega-Garcia
    • 1
  1. 1.ATVS-UAM, Escuela Politecnica SuperiorUniversidad Autonoma de MadridMadrid

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