Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

A Study on Enhanced Dynamic Signature Verification for the Embedded System

  • Conference paper
Brain, Vision, and Artificial Intelligence (BVAI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3704))

Included in the following conference series:

  • 978 Accesses

Abstract

This paper is a research on the dynamic signature verification of error rate which are false rejection rate and false acceptance rate, the size of signature verification engine, the size of the characteristic vectors of a signature, the ability to distinguish similar signatures, and so on. We suggest feature extraction and comparison method of the signature verification. Also, we have implemented our system with Java technology for more efficient user interfaces and various OS Platforms and embedded system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Kim, J.W., Cho, H.G., Cha, E.Y.: A Study on the Dynamic Signature Verification System. International Journal of Fuzzy Logic and Intelligent System 4(3), 271–276 (2004)

    Google Scholar 

  2. Kim, J.W., Cho, H.G., Cha, E.Y.: A Study on the Evaluation of Dynamic Signature Verification System. In: IT SoC Conference 2004, Korea, pp. 583–587 (2004)

    Google Scholar 

  3. Lei, H., Govindaraju, V.: A Study on the Consistency of Features for On-line Signature Verification. In: Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition (SSPR 2004) and Statistical Pattern Recognition, SPR (2004)

    Google Scholar 

  4. Wirotius, M., Ramel, J.-Y., Vincent, N.: Selection of Points for On-Line Signature Comparison. In: Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR 2004), October 2004, pp. 503–508 (2004)

    Google Scholar 

  5. Dimauro, G., Impedovo, S., Lucchese, M.G., Modugno, R., Pirlo, G.: Recent Advancements in Automatic Signature Verification. In: Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR 2004), October 2004, pp. 179–184 (2004)

    Google Scholar 

  6. Lei, H., Palla, S., Govindaraju, V.: ER2: An Intuitive Similarity Measure for On-Line Signature Verification. In: Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR 2004), October 2004, pp. 191–195 (2004)

    Google Scholar 

  7. Schimke, S., Vielhauer, C., Dittmann, J.: Using Adapted Levenshtein Distance for On-Line Signature Authentication. In: Pattern Recognition, 17th International Conference on (ICPR 2004), August 2004, vol. 2, pp. 931–934 (2004)

    Google Scholar 

  8. Rioja, F.R., Miyatake, M.N., Meana, H.P., Toscano, K.: Dynamics features Extraction for on-Line Signature verification. In: 14th International Conference on Electronics, Communications and Computers, February 2004, p. 156 (2004)

    Google Scholar 

  9. Munich, M., Perona, P.: Visual identification by signature tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence (2003)

    Google Scholar 

  10. Zimmer, A., Ling, L.L.: A Hybrid On/Off Line Handwritten Signature Verification System. In: Seventh International Conference on Document Analysis and Recognition, August 2003, vol. I, p. 424 (2003)

    Google Scholar 

  11. Zou, M., Tong, J., Liu, C., Lou, Z.: On-line Signature Verification Using Local Shape Analysis. In: Seventh International Conference on Document Analysis and Recognition, August 2003, vol. I, p. 314 (2003)

    Google Scholar 

  12. Shafiei, M.M., Rabiee, H.R.: A New On-Line Signature Verification Algorithm Using Variable Length Segmentation and Hidden Markov Models. In: Seventh International Conference on Document Analysis and Recognition, August 2003, vol. I, p. 443 (2003)

    Google Scholar 

  13. Jain, A.K., Griess, F.D., Connell, S.D.: On-line signature verification. Pattern Recognition 35, 2963–2972 (2002)

    Article  MATH  Google Scholar 

  14. Quek, C., Zhou, R.W.: Antiforgery: a novel pseudo-outer product based fuzzy neural network driver signature verification system. Pattern Recognition 23, 1795–1816 (2002)

    Article  MATH  Google Scholar 

  15. Fuentes, M., Garci-Salicetti, S., Dorizzi, B.: On line Signature Verification: Fusion of a Hidden Markov Model and a Neural Network via a Support Machine. In: Proc. of IWFHR-8, Canada, pp. 253–258 (2002)

    Google Scholar 

  16. Dimauro, G., Impedovo, S., Modugno, R., Pirlo, G., Sarcinella, L.: Analysis of Stability in Hand-Written Dynamic Signatures. In: Proc. IWFHR-8, Canada, pp. 259–263 (2002)

    Google Scholar 

  17. Tanaka, M., Ishino, Y., Shimada, H., Inoue, T.: DP Matching Using Kalman Filter as Pre-Processing in On-Line Signature Verification. In: Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR 2002), August 2002, p. 502 (2002)

    Google Scholar 

  18. Fuentes, M., Garcia-Salicetti, S., Dorizzi, B.: On-Line Signature Verification: Fusion of a Hidden Markov Model and a Neural Network via a Support Vector Machine. In: Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR 2002), August 2002, p. 253 (2002)

    Google Scholar 

  19. da Silva, A.V., de Freitas, D.S.: Wavelet-Based Compared to Function-Based On-Line Signature Verification. In: XV Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2002), October 2002, p. 218 (2002)

    Google Scholar 

  20. Yoon, H.S., Lee, J.Y., Yang, H.S.: An On-Line Signature Verification System Using Hidden Markov Model in Polar Space. In: Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR 2002), August 2002, p. 329 (2002)

    Google Scholar 

  21. Vielhauer, C., Steinmetz, R., Mayerhofer, A.: Biometric Hash based on Statistical Features of Online Signatures. In: 16th International Conference on Pattern Recognition (ICPR 2002), August 2002, vol. 1, p. 10123 (2002)

    Google Scholar 

  22. Sakomoto, D., Morita, H., Ohishi, T., Komiya, Y., Matsumoto, T.: On-line Signature Verification Algorithm Incorporating, Pen position, Pen pressure and Pen inclination trajectories. In: Proc. of 2001 IEEE international conf. Acoustics, Speed and signal processing, vol. 2, pp. 993–996 (2001)

    Google Scholar 

  23. Rhee, T.H., Cho, S.J., Kim, J.H.: On-line Signature Verification Using Model-Guided Segmentation and Discriminative feature Selection for Skilled Forgeries. In: Proc. of. Sixth International conf. on Document Analysis and recognition, pp. 645–649 (2001)

    Google Scholar 

  24. Letjman, D., George, S.: On-line handwritten signature verification using wavelets and back-propagation neural networks. In: Proc. of ICDAR 2001, Seattle, pp. 596–598 (2001)

    Google Scholar 

  25. Baltzakis, H., Papamarkos, N.: A new signature verification technique based on a two-stage neural network classifier. Engineering Application of AI 14, 95–103 (2001)

    Google Scholar 

  26. Vielhauer, C., Steinmetz, R.: Transitivity Based Enrollment Strategy for Signature Verification. In: International Conference on Document Analysis and Recognition (ICDAR), vol. 1, pp. 1263–1266 (2001)

    Google Scholar 

  27. Tanabe, K., Yoshihara, M., Kameya, H., Mori, S., Omata, S., Ito, T.: Automatic Signature Verification Based on the Dynamic Feature of Pressure. In: Sixth International Conference on Document Analysis and Recognition (ICDAR 2001), September 2001, p. 1045 (2001)

    Google Scholar 

  28. Mingming, M., Wijesoma, W.S., Sung, E.: An automatic on-line signature verification system based on tree models. In: Proc. of Canadian Conference on Elect and Comp. Eng., pp. 890–894 (2000)

    Google Scholar 

  29. Yue, K. W., Wijesoma, W.S.: Improved segmentation and segment association for on-line signature verification. In: IEEE International Conference on Systems, Man, and Cybernetics, vol. 4 (2000)

    Google Scholar 

  30. Ohishi, T., Komiya, Y., Matsumoto, T.: On-line Signature Verification using Pen-Position, Pen-Pressure and Pen Inclination trajectories. In: ICPR 2000, September 03-08, vol. 4 (2000)

    Google Scholar 

  31. Hangai, S., Yamanaka, S., Hamanoto, T.: On-line signature verification based on altitude and direction of pen movement. In: International Conference on Multimedia (ICME), vol. 1, pp. 489–492 (2000)

    Google Scholar 

  32. Yue, K.W., Wijesuma, W.S.: Improved Sementation and segment Association for On-line Signature Verification. In: Proc. of 2000 IEEE International conf. on Systems Man and Cybernetics, vol. 4, pp. 2752–2756 (2000)

    Google Scholar 

  33. Plamondon, R., Srihari, S.N.: On-line and Off-line Handwriting Recognition A comprehensive Survey. IEEE transaction on patter analysis and machine intelligence, 22(1), 63–78 (2000)

    Article  Google Scholar 

  34. Cordella, L.P., Foggia, P., Sansone, C., Tortorella, F., Vento, M.: A Cascaded Multiple Expert System for Verification. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, vol. 1857, pp. 330–339. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  35. Di Lecce, V., Dimauro, G., Guerriero, A., Impedovo, S., Pirlo, G., Salzo, A.: A Multi-Expert System for Dynamic Signature Verification. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, vol. 1857, pp. 320–329. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  36. Newham, E.: Survey: Signature Verification Technologies. Bit, 8–10 (2000)

    Google Scholar 

  37. Griess, F.D.: On-line Signature Verification. Projet Report, Michigan State University, Department of Computer Science and Engineering (2000)

    Google Scholar 

  38. Wessels, T., Omlin, C.: A Hybrid System for Signature Verification. In: Proc. South African Telecommunications Networks and Applications Conf., pp. 5509–5514 (2000)

    Google Scholar 

  39. Di Lecce, V., Guerriero, A., Dimauro, G., Impedovo, S., Pirlo, G., Salzo, A., Sarcinella, L.: Selection of Reference Signatures for Automatic Signature Verification. In: Fifth International Conference on Document Analysis and Recognition, September 1999, p. 597 (1999)

    Google Scholar 

  40. Xiao, X.H., Leedham, G.: Signature Verification by Neural Networks with Selective Attention. Applied Intelligence 11, 213–223 (1999)

    Article  Google Scholar 

  41. Munich, M.E., Perona, P.: Continuous Dynamic Time Warping for Translation Invariant Curve Alignment with Applications to Signature Verification (1999), Available at http://citeseer.nj.nec.com/munich99continuous.html

  42. Dolfing, J.G.A., Aarts, E.H.L., van Oosterhout, J.J.G.M.: On-line signature verification with hidden markov models. In: Proceedings of the International Conference on Pattern Recognition, August 1998, p. 1309 (1998)

    Google Scholar 

  43. Cheng, N.-J., Wen, C.-J., Yau, H.-F., Liu, D.H., Liu, K., Cheng, K.-C., Jeng, B.-S.: Online Chinese signature verification with mixture of experts. In: Proceeding of 32nd Annual 1998 International Carnahan Conference on Security Technology (1998)

    Google Scholar 

  44. Ruggles, T.: Comparison of Biometric Techniques,Technical Report for The Biometric Consulting Group (1998), Available at http://biometricconsulting.com/bio.htm

  45. DiLecce, V., Dimauro, G., Guerriero, A., Impedovo, S., Pirlo, G., Salzo, A., Sarcinella, L.: Selection of Reference Signatures for Automatic Signature Verification. In: Proc. ICDAR 1999, India, pp. 597–600 (1999)

    Google Scholar 

  46. Kashi, R., Hu, J., Nelson, W.L., Turin, W.: A Hidden Markov Model approach to on-line handwritten signature verification. IJDAR 1, 102–109 (1998)

    Article  Google Scholar 

  47. Wu, Q.-Z., Lee, S.-Y., Jou, I.-C.: On-line signature verification based on logarithmic spectrum. Pattern Recognition 31(12), 1865–1871 (1998)

    Article  Google Scholar 

  48. Wirtz, B.: Technical Evaluation of Biometric Systems. In: Proc. of ACCU 1998, Hong Kong (1998)

    Google Scholar 

  49. Schmidt, C., Kraiss, K.-F.: Establishment of personalized templates for automatic signature verification. In: Proc. ICDAR 1997, pp. 263–267. IEEE Press, Los Alamitos (1997)

    Google Scholar 

  50. Wu, Q.Z., Lee, S.-Y., Jou, I.-C.: On-line signature verification based on split-and-merge matching mechanism. Pattern Recognition Letters 18, 665–673 (1997)

    Article  Google Scholar 

  51. Nalwa, V.S.: Automatic on-line signature verification. Proceedings of the IEEE 85(2), 213–239 (1997)

    Article  Google Scholar 

  52. Plamondon, R.: A Kinematic Theory of Rapid Human Movements: Part III: Kinetic Outcomes. Biological Cybernetics (January 1997)

    Google Scholar 

  53. Bajaj, R., Chaudhury, S.: Signature Verification using multiple neural classifiers. Pattern Recogn. 30(1), 1–7 (1997)

    Article  Google Scholar 

  54. Wirtz, B.: Average Prototypes for Stroke-Based Signature Verification. In: Proc. ICDAR 1997, pp. 268–272. IEEE Press, Los Alamitos (1997)

    Google Scholar 

  55. Sabourin, R., Genesi, G., Preteux, F.: Off-line Signature Verification by Local Granulometric Size Distributions. IEEE TPAMI 19(9), 976–988 (1997)

    Google Scholar 

  56. Huang, K., Yan, H.: Off-line signature verification based on geometric feature extraction and neural network classification. Pattern Recognition 30(1), 9–17 (1997)

    Article  Google Scholar 

  57. Dimauro, G., Impedovo, S., Pirlo, G., Salzo, A.: A multi-expert signature verification system for bankcheck processing. IJPRAI 11(5), 827–844 (1997)

    Google Scholar 

  58. Lee, L.L., Berger, T., Aviczer, E.: Reliable On-Line Human Signature Verification Systems. IEEE T-PAMI 18(6), 643–647 (1996)

    Google Scholar 

  59. Martens, R., Claesen, L.: On-line signature verification by dynamic time-warping. In: The 13th International Conference on Pattern Recognition, pp. 38–42 (1996)

    Google Scholar 

  60. Lee, L., Berger, T., Aviczer, E.: Reliable On-Line Human Signature Verification Systems. IEEE Trans. on Pattern Analysis and Machine Intelligence, 643–647 (1996)

    Google Scholar 

  61. Kim, J., Yu, J.R., Kim, S.H.: Learning of prototypes and decision boundaries for a verification problem having only positive samples. Pattern Recognition 17, 691–697 (1996)

    Article  Google Scholar 

  62. Xuhua, Y., Furuhashi, T., Obata, K., Uchikawa, Y.: Selection of features for signature verification using the genetic algorithm. Computers ind. Eng. 30(4), 1037–1045 (1996)

    Article  Google Scholar 

  63. Qi, Y., Hunt, B.R.: A multiresolution approach to computer verification of handwritten signatures. IEEE Trans. Image Processing 4(6), 870–874 (1995)

    Article  Google Scholar 

  64. Plamondon, R.: A Kinematic Theory of Rapid Human Movements: Part I: Movement Representation and generation. Biological Cybernetics 72(4), 295–307 (1995)

    Article  MATH  Google Scholar 

  65. Plamondon, R.: A Kinematic Theory of Rapid Human Movements: Part II: Movement Time and Control. Biological Cybernetics 72(4), 309–320 (1995)

    Article  MATH  Google Scholar 

  66. Wirtz, B.: Stroke-based Time Warping for Signature Verification. In: Proc. ICDAR, pp. 179–182. IEEE Press, Los Alamitos (1995)

    Google Scholar 

  67. Yang, L., Widjaja, B.K., Prasad, R.: Application of hidden Markov models for signature verification. Pattern Recognition 28(2), 161–170 (1995)

    Article  Google Scholar 

  68. Nelson, W., Turin, W., Hastie, T.: Statistical methods for online signature verification. IJPRAI 8(3), 749–770 (1994)

    Google Scholar 

  69. Sabourin, R., Plamondon, R., Beaumier, L.: Structural interpretation of handwritten signature images. IJPRAI 8(3), 709–748 (1994)

    Google Scholar 

  70. Cardot, H., Revenu, M., Victorri, B., Revillet, M.-J.: A Static Signature Verification System based on a cooperative Neural Networks Architecture. IJPRAI 8(3), 679–692 (1994)

    Google Scholar 

  71. Pirlo, G.: Algorithms for Signature Verification. In: Impedovo, S. (ed.) Fundamentals in Handwriting Recognition, pp. 433–454. Springer, Berlin (1994)

    Google Scholar 

  72. Plamondon, R. (ed.): Progress in Automatic Signature Verification. World Scientific Publ., Singapore (1994)

    MATH  Google Scholar 

  73. Leclerc, F., Plamondon, R.: Automatic signature verification: The state of the art.1989-1993. IJPRAI 8(3), 643–660 (1994)

    Google Scholar 

  74. Dimauro, G., Impedovo, S., Pirlo, G.: Component-oriented algorithms for signature verification. IJPRAI 8(3), 771–794 (1994)

    Google Scholar 

  75. Dimauro, G., Impedovo, S., Pirlo, G.: Off-line Signature Verification through Fundamental Strokes Analysis. In: Impedovo, S. (ed.) Progress in Image Analysis and Processing III, pp. 331–337. World Scientific Publ., Singapore (1994)

    Google Scholar 

  76. Wu, Q.Z., Jou, I.-C., Jeng, B.-S., Cheng, N.-J., Huang, S.-S., Ting, P.-Y., Shieh, D.-M., Wen, C.-J.: On the Distorsion Measurement of On-Line Signature verification. In: Proc. of IWFHR IV, Taipei, Taiwan, December 7-9, pp. 347–353 (1994)

    Google Scholar 

  77. Congedo, G., Dimauro, G., Impedovo, S., Pirlo, G.: A new methodology for the measurement of local stability in dynamic signatures. In: Proc. IWFHR IV, Taiwan, pp. 135–144 (1994)

    Google Scholar 

  78. Brault, J.J., Plamondon, R.: A complexity Measure of Handwritten Curves: Modeling of Dynamic Signature Forgery. IEEE T-SMC 23(2), 400–413 (1993)

    Google Scholar 

  79. Yang, L., Widjaja, B.K., Prasad, R.: On-line signature verification applying hidden Markov models. In: Proc. of 8th Scandinavian Conf. Image Analysis, Tromso, pp. 1311–1316 (1993)

    Google Scholar 

  80. Brault, J.J., Plamondon, R.: Segmenting handwritten signatures at their perceptually important points. IEEE T-PAMI 15(9), 953–957 (1993)

    Google Scholar 

  81. Dimauro, G., Impedovo, S., Pirlo, G.: On-line Signature Verification by a Dynamic Segmentation Technique. In: Proc. 3th IWFHR, Buffalo, May 1993, pp. 262–271 (1993)

    Google Scholar 

  82. Dimauro, G., Impedovo, S., Pirlo, G.: A stroke-oriented approach to signature verification. In: Impedovo, S., Simon, J.C. (eds.) From Pixels to Features III - Frontiers in Handwriting Recognition, pp. 371–384. Elsevier Publ., Amsterdam (1992)

    Google Scholar 

  83. Sabourin, R., Drouhard, J.P.: Off-line signature verification using directional PDF and neural networks. In: Proc. of 11th ICPR, pp. 321–325 (1992)

    Google Scholar 

  84. Tseng, L.Y., Huang, T.H.: An on-line Chinese signature verification scheme based on the ART1 neural network. In: Proc. of Int. J. Conf. on NN, Maryland, pp. 624–630 (1992)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer, Youngsan University, Korea

    Jin Whan Kim & Hyuk Gyu Cho

  2. Dept. of Computer Science, Pusan National University, Korea

    Eui Young Cha

Authors
  1. Jin Whan Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hyuk Gyu Cho
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Eui Young Cha
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Istituto di Cibernetica “Eduardo Caianiello”, CNR, Pozzuoli (NA), Italy

    Massimo De Gregorio

  2. Istituto di Cibernetica “E. Caianiello” del CNR, Via Campi Flegrei, 34, 80078, Pozzuoli (NA), Italy

    Vito Di Maio

  3. Institute of Cybernetics “E. Caianiello”, CNR, Pozzuoli, (Naples), Italy

    Maria Frucci

  4. Istituto di Cibernetica “Eduardo Caianiello”, CNR, Pozzuoli, Italy

    Carlo Musio

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kim, J.W., Cho, H.G., Cha, E.Y. (2005). A Study on Enhanced Dynamic Signature Verification for the Embedded System. In: De Gregorio, M., Di Maio, V., Frucci, M., Musio, C. (eds) Brain, Vision, and Artificial Intelligence. BVAI 2005. Lecture Notes in Computer Science, vol 3704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11565123_42

Download citation

  • DOI: https://doi.org/10.1007/11565123_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29282-1

  • Online ISBN: 978-3-540-32029-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation