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A Comparison of Three Kinds of DP Matching Schemes in Verifying Segmental Signatures

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Book cover Biometric ID Management and Multimodal Communication (BioID 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5707))

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Abstract

In on-line signature verification, DP (Dynamic Programming) matching is an essential technique in making a reference signature and/or calculating the distance between two signatures. For continuous signatures such as western, it is reasonable that the matching is tried over whole signature, i.e., from the start of signature to the end of signature. However, for segmental signatures such as eastern (e.g., Japanese or Chinese), the DP matching generates unrecoverable error caused by wrong correspondences of segments, and leads to worse EER (Equal Error Rate).

In this study, we compare three kinds of DP matching scheme; (1)Based on First name part and Second name part, (2)Based on characters, and (3)Based on strokes. From experimental results, 1.8% average EER in whole DP matching decreases into 0.5% in scheme (1), 0.105% in scheme (2) and 0.00244% in scheme (3) for 14 writers’ signatures with intersession variability over one month. In this paper, problems in DP matching and results of signature verification with XY position, pressure, and inclination are given under proposed matching schemes.

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References

  1. Cyber-Sign, http://www.cybersign.com/

  2. SOFTPRO, http://www.signplus.com/en/

  3. Galbally, J., Fierrez, J., Freire, M.R., Ortega-Garcia, J.: Feature Selection Based on Genetic Algorithms for On-Line Signature Verification. In: IEEE workshop on AIAT, pp. 198–203 (2007)

    Google Scholar 

  4. Tanaka, M., Bargiela, A.: Authentication Model of Dynamic Signatures using Global and Local Features. In: IEEE 7th workshop on Multimedia Signal Processing, pp. 1–4 (2005)

    Google Scholar 

  5. Hangai, S., Yamanaka, S., Hamamoto, T.: On-Line Signature Verification Based On Altitude and Direction of Pen Movement. In: IEEE ICME 2000 (August 2000)

    Google Scholar 

  6. Yamanaka, S., Kawamoto, M., Hamamoto, T., Hangai, S.: Signature Verification Adapting to Intersession Variability. In: IEEE ICME 2001 (August 2001)

    Google Scholar 

  7. Kawamoto, M., et al.: Improvement of On-line Signature Verification System Robust to Intersession Variability. In: Tistarelli, M., Bigun, J., Jain, A.K. (eds.) ECCV 2002. LNCS, vol. 2359, pp. 168–175. Springer, Heidelberg (2002)

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  8. Bierhals, N., Hangai, S., Scharfenberg, G., Kempf, J., Hook, C.: Extraction of Target Areas based on Turning Points for Signature Verification – A Study on Signature/Sign Processed Dynamic Data Format SC37 N2442, Tech. Rep. of Biometrics Security Group (June 2008)

    Google Scholar 

  9. ISO/IEC JTC1 /SC37 N 2442 (2008)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Hangai, S., Sano, T., Yoshida, T. (2009). A Comparison of Three Kinds of DP Matching Schemes in Verifying Segmental Signatures. In: Fierrez, J., Ortega-Garcia, J., Esposito, A., Drygajlo, A., Faundez-Zanuy, M. (eds) Biometric ID Management and Multimodal Communication. BioID 2009. Lecture Notes in Computer Science, vol 5707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04391-8_43

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  • DOI: https://doi.org/10.1007/978-3-642-04391-8_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04390-1

  • Online ISBN: 978-3-642-04391-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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