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A Model-Based Dynamic Signature Verification System

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Fundamentals in Handwriting Recognition

Part of the book series: NATO ASI Series ((NATO ASI F,volume 124))

Abstract

This paper reports on some of the questions raised by designers of automatic signature verification systems. It shows how knowledge about signature control and generation, in terms of a realistic mathematical and psychophysical model, can be helpful in guiding and orienting design choices and related research activities.

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References

  1. Plamondon, R., Lorette, G.: Automatic signature verification and writer identification: The state of the art. Pattern Recognition 22/2, 107–131 (1989).

    Article  Google Scholar 

  2. Lorette, G., Plamondon, R.: Dynamic approaches to handwritten signature verification. In: R. Plamondon, C.G. Leedham (eds.) Computer Processing of Handwriting, pp. 20–47, World Scientific, Singapore: 1990.

    Google Scholar 

  3. Plamondon, R. Lorette, G.: On-line signature verification: How many countries are in the race? Proc. Int. Carnahan Conf. on Security Technology. Zurich 3-5, 183–191 (1989).

    Article  Google Scholar 

  4. Plamondon, R., Lorette, G., Poulin G.: On the intrinsic, theoretical and technical difficulties of designing an automatic signature verification system. Proc. Third International Symposium on Handwriting and Computer Applications. Montréal, pp. 154-156 (1987).

    Google Scholar 

  5. Plamondon, R., Lorette G.: Designing and automatic signature verification system: Problem definition and system description. In: R. Plamondon, C.G. Leedham (eds.) Computer Processing of Handwriting, pp. 3–20, World Scientific, Singapore: 1990.

    Google Scholar 

  6. Plamondon, R., Yergeau, P.: A system for the analysis and synthesis of handwriting. Proc. Int. Workshop on Frontiers in Handwriting Recognition, pp. 167-179 (1990).

    Google Scholar 

  7. Leclerc, F., Plamondon, R.: Validation d’un modèle de la fonction de transfert du bras sur des signatures manuscrites. Proc. Vision Interface’ 90, 105-111 (1990).

    Google Scholar 

  8. Plamondon, R.: A model-based segmentation framework for computer processing of handwriting. Proc. 11th Int. Conf. on Pattern Recognition. The Hague, pp. 303-307 (1992).

    Google Scholar 

  9. Leclerc, F., Plamondon, R., Lorette, G.: Des gaussiennes pour la modélisation des signatures des tracés manuscrits. Traitement du signal, 347-358 (1992).

    Google Scholar 

  10. Plamondon, R., Yergeau, P., Brault, J.J.: A multi-level signature verification system. In: S. Impedovo, J.C. Simon (eds.) From Pixels to Features III, pp. 363–370, Elsevier, Amsterdam: 1992.

    Google Scholar 

  11. Plamondon, R.: Method and apparatus for comparing a test handwritten signature with a reference signature by using information relative to curvilinear and angular velocities of the signature. US Patent 5 101 437 (1992).

    Google Scholar 

  12. Schomaker, L.R.B., Plamondon, R.: The relation between axial pen force and pen-point kinematics in handwriting. Biol. Cybernetics 63, 277–289 (1990).

    Article  Google Scholar 

  13. Plamondon, R., Parizeau, M.: Signature verification from position, velocity and acceleration signals: A comparative study. Proc. 9th Int. Conf. on Pattern Recognition, Rome, pp. 260-265 (1988).

    Google Scholar 

  14. Plamondon, R., Clément, B.: Dependence of peripheral and central parameters describing handwriting generation on movement direction. Human Movement Science, Thematic Issue on Handwriting 10, 193–221 (1991).

    Article  Google Scholar 

  15. Plamondon, R.: What does differential geometry tell us about handwriting generation? Proc. Third Int. Symp. on Handwriting and Computer Applications, Montréal, pp. 11-13 (1987)

    Google Scholar 

  16. Hollerbach, J.M., Flash, T.: Dynamic interactions between limb segments during planar arm movements. Biol. Cybernetics 44, 67–77 (1982).

    Article  Google Scholar 

  17. Evinger, D., Shaw, M.D., Peck, C.K., Manning, K.A., Baker, R.: Blinking and associated eye movements in humans, guinea pigs and rabbits. J. Neurophysiology 52, 323-339 (1984).

    Google Scholar 

  18. Ruitenbeek, J.C.: Invariants in loaded goal-directed movements. Biol. Cybernetics 51, 11–20 (1984).

    Article  Google Scholar 

  19. Soechting, J.F.: Effect of target size on spatial and temporal characteristics of a pointing movement. Experimental Brain Research 54, 121–132 (1984).

    Article  Google Scholar 

  20. Atkeson, CG., Hollerbach, J.M.: Kinematic features of unrestrained vertical arm movements. Journal of Neuroscience 5/9, 2318–2330 (1985).

    Google Scholar 

  21. Flash, T., Hogan, N.: The coordination of arm movements: An experimentally confirmed mathematical model. J. Neuroscience 5, 1688–1703 (1985).

    Google Scholar 

  22. Gielen, C.C.A.M., van den Oosten, K., Pulltergunne, F.: Relation between EMG activation patterns and kinematic properties of aimed arm movements. J. Motor Behavior 17/4, 421–442 (1985).

    Google Scholar 

  23. Munhall, K.G., Ostry, DJ., Parush, A.: Characteristics of velocity profiles of speech movements. J. Exp. Psychology (Human Perception) 11, 454–474 (1985).

    Google Scholar 

  24. Ostry, D.J., Cooke, J.D., Munhall, K.G.: Velocity curves of human arm and speech movements. Exp. Brain Research 68, 37–46 (1987).

    Google Scholar 

  25. Kaminski, T.R., Gentille, A.M.: A kinematic comparison of single and multi-joint pointing movements. Exp. Brain Research 78, 547–556 (1989).

    Google Scholar 

  26. Plamondon, R.: A handwriting model based on differential geometry. In: R. Plamondon, C.Y. Suen, M. Simner (eds.) Computer Recognition and Human Production of Handwriting, pp. 179–192, World Scientific, Singapore: 1989.

    Google Scholar 

  27. Plamondon, R.: A theory of rapid movements. In: G.E. Stelmach and J. Requin (eds.) Tutorials in Motor Behavior II, pp. 55–69, Elsevier, The Netherlands: 1992.

    Google Scholar 

  28. Plamondon, R., Maarse, F.J.: An evaluation of motor models of handwriting. IEEE Trans. on Syst. Man Cybernetics 19/5, 1060–1072 (1989).

    Article  Google Scholar 

  29. Plamondon, R., Alimi, A., Yergeau, P., Leclerc, F.: Modelling velocity profiles of rapid movements: A comparative study. In press, Biological Cybernetics.

    Google Scholar 

  30. Morasso, P., Mussa-Ivaldi, F.A.: Trajectory formation and handwriting: A computational model. Biological Cybernetics 45, 131–142 (1982).

    Article  Google Scholar 

  31. Van Galen, G.P.: Handwriting and drawing: A two-stage model of motor behavior. In: G.E. Stelmach and J. Requin (eds.) Tutorial in Motor Behavior, pp. 567–578, North-Holland, Amsterdam: 1980.

    Google Scholar 

  32. Denier van der Gon, J.J., Thuring J.P., Strackee, J.: A handwriting simulator. Physics in Medecine and Biology 6, 407–414 (1962).

    Article  Google Scholar 

  33. Dooijes, E.H.: Analysis of handwriting movements. Acta Psychologica 54, 99–114 (1983).

    Article  Google Scholar 

  34. MacDonald, J.S.: Experimental studies of handwriting signals. Ph.D. Dissertation, MIT, Cambridge, MA (1964).

    Google Scholar 

  35. Yasuhara, M.: Experimental studies of handwriting process. Rep. Univ. Electro. Comm. 25, 233–254 (1975).

    Google Scholar 

  36. Maarse, F.: The study of handwriting movement. Ph.D. Dissertation, University of Nijmegen, The Netherlands (1987).

    Google Scholar 

  37. Mermelstein, P., Eden, M.: Experiments on Computer Recognition of Connected Handwritten Words. Inform. Contr. 7, 225–270 (1964).

    Article  Google Scholar 

  38. Hollerbach, J.M.: An oscillation theory of handwriting. Biological Cybernetics 39, 139–156 (1981).

    Article  Google Scholar 

  39. Plamondon, R., Lamarche, F.: Modelization of handwriting: A system approach. In: H.S.R. Kao, G.P. van Galen, R. Hoosain (eds.) Graphonomics: Contemporary Research in Handwriting, pp. 169–183, Elsevier, Amsterdam: 1986.

    Chapter  Google Scholar 

  40. Abend, W., Bizzi, E., Morasso, P.: Human arm trajectory formation. Brain 105, 331–348 (1982).

    Article  Google Scholar 

  41. Morasso, P.: Spatial control of arm movements. Exp. Brain Res. 42, 223–227 (1981).

    Article  Google Scholar 

  42. Flash, T.: Organizing principles underlying the formation of arm trajectories. Ph.D. Dissertation, MIT, Cambridge, MA (1983).

    Google Scholar 

  43. Edelman, S., Flash, T.: A model of handwriting. Biological Cybernetics 57, 25–36 (1987).

    Article  Google Scholar 

  44. Plamondon, R.: Handwriting control: A functional model. In: M.J.R. Cotterill (ed.) Models of Brain Function, pp. 563–574, Cambridge University Press, U.K.: 1989.

    Google Scholar 

  45. Gutman, S.R., Gottlieb, G.L.: Exponential model with nonlinear time of reaching movement: Trajectory time profile, strategies, variability. Third IBRO World Congress of Neuroscience, Montréal, Canada, August 4–9, Paper P39.23, 262 (1991).

    Google Scholar 

  46. Plamondon, R.: On the origin of asymmetric bell-shaped velocity profiles in rapid-aimed movements. In: G.E. Stelmach and J. Requin (eds.) Tutorials in Motor Neuroscience, pp. 283-295, Kluwer: 1991.

    Google Scholar 

  47. Alimi, A., Plamondon, R.: Performance analysis of handwritten stroke generation models. Proc. 3rd International Workshop on Frontiers in Handwriting Recognition, Buffalo (1993).

    Google Scholar 

  48. Plamondon, R., Li-de Yu, Stelmach, G.E., Clément, B.: On the automatic extraction of biomechanical information from handwriting signals. IEEE Trans. on Systems, Man, and Cybernetics, SMC-21, 90-101 (1991).

    Google Scholar 

  49. Plamondon, R., Stelmach, G.E., Teasdale, N.: Motor program coding representation from a handwriting generator: The production of line responses. Biological Cybernetics 63, 443–451 (1990).

    Article  Google Scholar 

  50. Plamondon, R.: The generation of rapid human movements. Part I: A Alog-normal law. Technical Report EPM/RT-93/4, École Polytechnique de Montréal (1993).

    Google Scholar 

  51. Plamondon, R.: A kinematic theory of rapid human movements. Part I: Movement representation and generation. Submitted to Biological Cybernetics (1993).

    Google Scholar 

  52. Plamondon, R.: Looking through handwriting generation from a velocity control perspective. In: G.E. Stelmach and G.P. van Galen (eds.) Acta Psychologica Special Issue on Motor Control of Handwriting: 1993.

    Google Scholar 

  53. Plamondon, R.: A kinematic theory of rapid human movements. Part II: Movement time and control. Submitted to Biological Cybernetics (1993).

    Google Scholar 

  54. Plamondon, R.: The generation of rapid human movements. Part II: Quadratic and power laws. Technical Report EPM/RT-93/5, École Polytechnique de Montréal (1993).

    Google Scholar 

  55. Plamondon, R.: Understanding stroke generation: A global neuromuscular approach. Proc. 6th Int. Conf. on Handwriting and Drawing, Paris (1993).

    Google Scholar 

  56. Parizeau, M., Plamondon, R.: A comparative analysis of regional correlation, dynamic time warping and skeletal tree matching for signatures. IEEE Trans. on Pattern Analysis and Machine Intelligence 12/7, 710–717 (1990).

    Article  Google Scholar 

  57. Herbst, N.M., Morrisey, H.: Signature verification method and apparatus. U.S. Patent 3 983 535 (1976).

    Google Scholar 

  58. Herbst, N.M., Liu C.N.: Signature verification method and apparatus utilizing both acceleration and pressure characteristics. U.S. Patent 4 128 829 (1978).

    Google Scholar 

  59. Worthington, T.K., Chainer, T.J., Williford, J.D., Gundersen, S.C.: IBM dynamic signature verification. In: J.B. Grimson and H.J. Kugler (eds.) Computer Security, pp. 129-154, Amsterdam: 1985.

    Google Scholar 

  60. Sakoe, H., Chiba, S.: Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans. Acoust., Speech, Signal Processing ASSSP-26/1, 43-49 (1978).

    Google Scholar 

  61. Sato, Y., Kogure, K.: On-line signature verification based on shape, motion, and writing pressure. Proc. 6th Int. Conf. Pattern Recognition, Munich, pp. 823-826 (1982).

    Google Scholar 

  62. Yasuhara, M., Oka, M.: Signature verification experiment based on non-linear time alignment: A feasibility study. IEEE Trans. Syst., Man, Cybern. SMC-17, 212-216 (1977).

    Google Scholar 

  63. Cheng, Y.C., Lu, S.Y.: Waveform correlation by tree matching. IEEE Trans. Pattern Anal. Machine Intell. PAMI-7/3, 299-305 (1985).

    Google Scholar 

  64. Lu, S.Y.: A tree matching algorithm based on node splitting and merging. IEEE Trans. Pattern Anal. Machine Intell. PAMI-6/2, 249-256 (1984).

    Google Scholar 

  65. Parizeau, M., Plamondon, R.: Relative performances of signature, handwritten password and initials for personal identification. Proc. Third International Symposium on Handwriting and Computer Applications, Montréal, pp. 164-166 (1987).

    Google Scholar 

  66. Parizeau, M., Plamondon, R.: What types of scripts can be used for personal identity verification? In: R. Plamondon, C.Y. Suen, M. Simner (eds.) Computer Recognition and Human Production of Handwriting, pp. 77–90, World Scientific, Singapore: 1989.

    Google Scholar 

  67. Fréchette, P., Plamondon, R.: Architecture parallele basée sur des TMS 320C30 pour la comparaison de signaux. Proc. Vision Interface’ 91, Calgary, pp. 128-134 (1991).

    Google Scholar 

  68. Plamondon, R., Yergeau, P., Brault, J.J.: A multi-level signature verification system. In: S. Impedevo, J.C. Simon (eds.) From Pixels to Features III, pp. 363–370, Elsevier, Amsterdam: 1992.

    Google Scholar 

  69. Brault, J.J., Plamondon, R.: How to detect problematic signers for automatic signature verification? Proc. 1989 Int. Carnahan Conf. on Security Technology, Zurich, pp. 127-132 (1989).

    Google Scholar 

  70. Brault, J.J., Plamondon, R.: Can we measure the intrinsic complexity of a signature to be imitated? Proc. 5th Handwriting Conference, Tempe, Arizona, pp. 169-171 (1991).

    Google Scholar 

  71. Brault, J.J., Plamondon, R.: A complexity measure of handwritten curves: Modelling dynamic signature forgery. In press. IEEE Trans. on System, Man and Cybernetics (1993).

    Google Scholar 

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© 1994 Springer-Verlag Berlin Heidelberg

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Plamondon, R. (1994). A Model-Based Dynamic Signature Verification System. In: Impedovo, S. (eds) Fundamentals in Handwriting Recognition. NATO ASI Series, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78646-4_25

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  • DOI: https://doi.org/10.1007/978-3-642-78646-4_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-78648-8

  • Online ISBN: 978-3-642-78646-4

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