Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Advertisement

Springer Nature Link
Log in

Confidence voting method ensemble applied to off-line signature verification

  • Survey
  • Published:
Pattern Analysis and Applications Aims and scope Submit manuscript

    We’re sorry, something doesn't seem to be working properly.

    Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Abstract

In this paper, a new approximation to off-line signature verification is proposed based on two-class classifiers using an expert decisions ensemble. Different methods to extract sets of local and a global features from the target sample are detailed. Also a normalization by confidence voting method is used in order to decrease the final equal error rate (EER). Each set of features is processed by a single expert, and on the other approach proposed, the decisions of the individual classifiers are combined using weighted votes. Experimental results are given using a subcorpus of the large MCYT signature database for random and skilled forgeries. The results show that the weighted combination outperforms the individual classifiers significantly. The best EER obtained were 6.3 % in the case of skilled forgeries and 2.31 % in the case of random forgeries.

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

Access this article

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

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Abreu M, Fairhurst M (2010) Improving forgery detection in off-line forensic signature processing. In: 3rd International conference on crime detection and prevention (ICDP 2009). IET, pp 1–6

  2. Arlandis J, Perez-Cortes J, Cano J (2002) Rejection strategies and confidence measures for a k-nn classifier in an ocr task. In: 16th International conference on pattern recognition ICPR-2002, vol 1. IEEE Computer Society, Québec, pp 576–579

  3. Fierrez-Aguilar J, Alonso-Hermira N, Moreno-Marquez G, Ortega-Garcia J (2004) An off-line signature verification system based on fusion of local and global information. In: Proceeding of European conference on computer vision. Workshop on biometric authentication, BIOAW. LNCS, vol 3087. Springer, Berlin, pp 295–306

  4. Impedovo D, Pirlo G (2008) Automatic signature verification: the state of the art. IEEE Trans Syst Man Cybern Part C: Appl Rev 38(5):609–635

    Article  Google Scholar 

  5. Jain AK, Griess FD, Connell SD (2002) On-line signature verification. Pattern Recognit 35:2963–2972

    Article  MATH  Google Scholar 

  6. Kuncheva LI (2004) Combining pattern classifiers: methods and algorithms. Wiley, New York

  7. Maio D, Maltoni D, Cappelli R, Wayman J, Jain A (2002) Fvc 2000: fingerprint verification competition. IEEE Trans Pattern Anal Mach Intell 24(3):402–412. doi:10.1109/34.990140

    Article  Google Scholar 

  8. Martin A, Doddington G, Kamm T, Ordowski M, Przybocki M (1997) The det curve in assessment of detection task performance. In: ESCA European conference on speech communication and technology, EuroSpeech, pp 1895–1898

  9. Oda H, Zhu B, Tokuno J, Onuma M, Kitadai A, Nakagawa M (2006) A compact on-line and off-line combined recognizer. In: Tenth international workshop on frontiers in handwriting recogntion, vol 1, pp 133–138

  10. Ortega-Garcia J, Fierrez-Aguilar J, Simon D, Gonzalez J, MF, Espinosa V, Satue A, Hernaez I, Igarza JJ, Vivaracho C, Escudero D, Moro QI (2003) Mcyt baseline corpus: a bimodal biometric database. IEE Proc Vis Image Signal Process (Special Issue on Biometrics on the Internet) 150(6):395–401

  11. Plamondon R (1994) The design of an on-line signature verification system: from theory to practice. IJPRAI 8(3):795–811

    Google Scholar 

  12. Rico-Juan JR, Iñesta JM (2007) Normalisation of confidence voting methods applied to a fast and written OCR classification. In: Kurzynski M, Puchala E, Wozniak M, Zolnierek A (eds) Computer recognition systems 2. Advances in soft computing, vol 45. Springer, Wroclaw, pp 405–412

  13. Ruiz-Del-Solar J, Devia C, Loncomilla P, Concha F (2008) Offline signature verification using local interest points and descriptors. In: Progress in pattern recognition, image analysis and applications, pp 22–29

  14. Serra J (1982) Image analysis and mathematical morphology. Academic Press, New York

  15. van Breukelen M, Duin RPW, DT, den Hartog J (1998) Handwritten digit recognition by combined classifiers. Comput Linguist 34(4):381–386

  16. van Erp M, Vuurpijl L, Schomaker L (2002) An overview and comparison of voting methods for pattern recognition. In: IWFHR ’02: proceedings of the eighth international workshop on frontiers in handwriting recognition (IWFHR’02). IEEE Computer Society, Washington, p 195

  17. Vellasques E, Oliveira L, Jr AB, Koerich A, Sabourin R (2006) Modeling segmentation cuts using support vector machines. In: Tenth international workshop on frontiers in handwriting recogntion, vol 1, pp 41–46

  18. Yoshiki M, Mitsu Y, Hidetoshi M, Isao Y (2002) An off-line signature verification system using an extracted displacement function. Pattern Recognit Lett 23(13):1569–1577. doi:10.1016/S0167-8655(02)00121–6

    Article  MATH  Google Scholar 

Download references

Acknowledgments

This work was partially supported by the Spanish CICYT under Spanish MICINN projects TIN2009-14205-CO4-01 and TIN2009-14247-C02-02, and by the Spanish research programme Consolider Ingenio 2010: MIPRCV (CSD2007-00018).

Author information

Authors and Affiliations

  1. Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, 03071, Alicante, Spain

    Juan Ramón Rico-Juan & José M. Iñesta

Authors
  1. Juan Ramón Rico-Juan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. José M. Iñesta
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Juan Ramón Rico-Juan.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rico-Juan, J.R., Iñesta, J.M. Confidence voting method ensemble applied to off-line signature verification. Pattern Anal Applic 15, 113–120 (2012). https://doi.org/10.1007/s10044-012-0270-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10044-012-0270-1

Keywords

Search

Navigation