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A Survey of State of the Art Methods Employed in the Offline Signature Verification Process

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New Trends in Business Information Systems and Technology

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 294))

Abstract

Handwritten signatures are of eminent importance in many business and legal activities around the world. That is, signatures have been used as authentication and verification measure for several centuries. However, the high relevance of signatures is accompanied with a certain risk of misuse. To mitigate this risk, automatic signature verification was proposed. Given a questioned signature, signature verification systems aim to distinguish between genuine and forged signatures. In the last decades, a large number of different signature verification frameworks have been proposed. Basically, these frameworks can be divided into online and offline approaches. In the case of online signature verification, temporal information about the writing process is available, while offline signature verification is limited to spatial information only. Hence, offline signature verification is generally regarded as the more challenging task. The present chapter reviews the field of offline signature verification and presents a comprehensive overview of methods typically employed in the general process of offline signature verification.

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Notes

  1. 1.

    Signature artificially added, CC BY-SA 3.0 at https://commons.wikimedia.org/wiki/File:Well%27s_fargo_counterfit_cashier%27s_check.jpg (retrieved 20. Mai, 2019).

References

  1. Ahmed, S., Malik, M.I., Liwicki, M., Dengel, A.: Signature segmentation from document images. In: 2012 International Conference on Frontiers in Handwriting Recognition, pp. 425–429 (2012)

    Google Scholar 

  2. Alonso-Fernandez, F., Fairhurst, M., Fierrez, J., Ortega-Garcia, J.: Automatic measures for predicting performance in off-line signature. In: IEEE International Conference on Image Processing, pp. I–369–I–372. IEEE (2007)

    Google Scholar 

  3. Baltzakis, H., Papamarkos, N.: A new signature verification technique based on a two-stage neural network classifier. Eng. Appl. Artif. Intell. 14(1), 95–103 (2001)

    Article  Google Scholar 

  4. Bansal, A., Nemmikanti, P., Kumar, P.: Offline signature verification using critical region matching. In: International Conference on Future Generation Communication and Networking Symposia, pp. 115–120. IEEE (2008)

    Google Scholar 

  5. Bronstein, M.M., Bruna, J., Lecun, Y., Szlam, A., Vandergheynst, P.: Geometric deep learning: going beyond euclidean data. Signal Process. Mag. 34(4), 18–42 (2017)

    Article  Google Scholar 

  6. Deng, P.S., Liao, H.Y.M., Ho, C.W., Tyan, H.R.: Wavelet-based off-line handwritten signature verification. Comput. Vis. Image Underst. 76(3), 173–190 (1999)

    Article  Google Scholar 

  7. Dey, S., Dutta, A., Toledo, J.I., Ghosh, S.K., Llados, J., Pal, U.: SigNet: convolutional siamese network for writer independent offline signature verification (2017)

    Google Scholar 

  8. Diaz, M., Ferrer, M.A., Impedovo, D., Malik, M.I., Pirlo, G., Plamondon, R.: A perspective analysis of handwritten signature technology. ACM Comput. Surv. 51(6), 1–39 (2019)

    Article  Google Scholar 

  9. Djeziri, S., Nouboud, F., Plamondon, R.: Extraction of items from checks. Proc. Fourth Int. Conf. Doc. Anal. Recognit. 2, 10–13 (1997)

    Google Scholar 

  10. Ferrer, M.A., Alonso, J., Travieso, C.: Offline geometric parameters for automatic signature verification using fixed-point arithmetic. IEEE Trans. Pattern Anal. Mach. Intell. 27(6), 993–997 (2005)

    Article  Google Scholar 

  11. Ferrer, M.A., Diaz-Cabrera, M., Morales, A.: Static signature synthesis: a neuromotor inspired approach for biometrics. Trans. Pattern Anal. Mach. Intell. 37(3), 667–680 (2015)

    Article  Google Scholar 

  12. Ferrer, M.A., Vargas, J.F., Morales, A., Ordonez, A.: Robustness of offline signature verification based on gray level features. IEEE Trans. Inf. Forensics Secur. 7(3), 966–977 (2012)

    Article  Google Scholar 

  13. Fierrez-Aguilar, J., Alonso-Hermira, N., Moreno-Marquez, G., Ortega-Garcia, J.: An off-line signature verification system based on fusion of local and global information. In: International Workshop on Biometric Authentication, pp. 295–306. Springer, Berlin (2004)

    Google Scholar 

  14. Fillingham, D.: A Comparison of Digital and Handwritten Signatures. Technical report, Massachusetts Institute of Technology (1997)

    Google Scholar 

  15. Fischer, A., Suen, C.Y., Frinken, V., Riesen, K., Bunke, H.: Approximation of graph edit distance based on Hausdorff matching. Pattern Recognit. 48(2), 331–343 (2015)

    Article  Google Scholar 

  16. Gilperez, A., Alonso-Fernandez, F., Pecharroman, S., Fierrez, J., Ortega-Garcia, J.: Off-line signature verification using contour features. In: International Conference on Frontiers in Handwriting Recognition. Concordia University (2008)

    Google Scholar 

  17. Hafemann, L.G., Oliveira, L.S., Sabourin, R.: Fixed-sized representation learning from offline handwritten signatures of different sizes. Int. J. Doc. Anal. Recognit. 21(3), 219–232 (2018)

    Article  Google Scholar 

  18. Hafemann, L.G., Sabourin, R., Oliveira, L.S.: Learning features for offline handwritten signature verification using deep convolutional neural networks. Pattern Recognit. 70, 163–176 (2017)

    Article  Google Scholar 

  19. Hafemann, L.G., Sabourin, R., Oliveira, L.S.: Offline handwritten signature verification—literature review. In: International Conference on Image Processing Theory, Tools and Applications, pp. 1–8. IEEE (2017)

    Google Scholar 

  20. Impedovo, D., Pirlo, G.: Automatic signature verification: the state of the art. Appl. Rev., IEEE Trans. Syst., Man Cybern. Part C (2008)

    Google Scholar 

  21. Kalera, M.K., Sargur, S., Xu, A.: Offline signature verification and identification using distance statistics. Int. J. Pattern Recognit. Artif. Intell. 18(07), 1339–1360 (2004)

    Article  Google Scholar 

  22. Kleber Santos Leite Melo, V., Byron Leite Dantas, B.: A Fully convolutional network for signature segmentation from document images. In: International Conference on Frontiers in Handwriting Recognition, pp. 540–545. IEEE (2018)

    Google Scholar 

  23. Kumar, R., Kundu, L., Chanda, B., Sharma, J.D.: A writer-independent off-line signature verification system based on signature morphology. In: First International Conference on Intelligent Interactive Technologies and Multimedia, pp. 261–265. ACM Press (2010)

    Google Scholar 

  24. Kumar, R., Sharma, J., Chanda, B.: Writer-independent off-line signature verification using surroundedness feature. Pattern Recognit. Lett. 33(3), 301–308 (2012)

    Article  Google Scholar 

  25. Maergner, P., Howe, N., Riesen, K., Ingold, R., Fischer, A.: Offline signature verification via structural methods: graph edit distance and inkball models. In: International Conference on Frontiers in Handwriting Recognition, pp. 163–168. IEEE (2018)

    Google Scholar 

  26. Maergner, P., Pondenkandath, V., Alberti, M., Liwicki, M., Riesen, K., Ingold, R., Fischer, A.: Offline signature verification by combining graph edit distance and triplet networks. International Workshop on Structural. Syntactic, and Statistical Pattern Recognition, pp. 470–480. Springer, Berlin (2018)

    Google Scholar 

  27. Maergner, P., Riesen, K., Ingold, R., Fischer, A.: A structural approach to offline signature verification using graph edit distance. In: International Conference on Document Analysis and Recognition, pp. 1216–1222. IEEE (2017)

    Google Scholar 

  28. Nagel, R., Rosenfeld, A.: Computer detection of freehand forgeries. IEEE Trans. Comput. C-26(9), 895–905 (1977)

    Google Scholar 

  29. Ortega-Garcia, J., Fierrez-Aguilar, J., Simon, D., Gonzalez, J., Faundez-Zanuy, M., Espinosa, V., Satue, A., Hernaez, I., Igarza, J.J., Vivaracho, C., Escudero, D., Moro, Q.I.: MCYT baseline corpus: a bimodal biometric database. Vis., Image, Signal Process. 150(6), 395 (2003)

    Google Scholar 

  30. Piyush Shanker, A., Rajagopalan, A.: Off-line signature verification using DTW. Pattern Recognit. Lett. 28(12), 1407–1414 (2007)

    Article  Google Scholar 

  31. Riesen, K.: Structural pattern recognition with graph edit distance. In: Advances in Computer Vision and Pattern Recognition. Springer, Berlin (2015)

    Google Scholar 

  32. Riesen, K., Bunke, H.: Approximate graph edit distance computation by means of bipartite graph matching. Image Vis. Comput. 27(7), 950–959 (2009)

    Article  Google Scholar 

  33. Sabourin, R., Beaumier, L.: Structural interpretation of handwritten signature images (1994)

    Google Scholar 

  34. Sharma, N., Mandal, R., Sharma, R., Pal, U., Blumenstein, M.: Signature and logo detection using deep CNN for document image retrieval. In: International Conference on Frontiers in Handwriting Recognition, pp. 416–422. IEEE (2018)

    Google Scholar 

  35. Siyuan Chen, Srihari, S.: A new off-line signature verification method based on graph. In: International Conference on Pattern Recognition, pp. 869–872. IEEE (2006)

    Google Scholar 

  36. Soleimani, A., Araabi, B.N., Fouladi, K.: Deep multitask metric learning for offline signature verification. Pattern Recognit. Lett. 80, 84–90 (2016)

    Article  Google Scholar 

  37. Stauffer, M.: From signatures to graphs. Master’s thesis, University of Applied Sciences and Arts Northwestern Switzerland (2015)

    Google Scholar 

  38. Stauffer, M., Maergner, P., Fischer, A., Ingold, R., Riesen, K.: Off-line signature verification using structural dynamic time warping. In: International Conference on Document Analysis and Recognition (2019)

    Google Scholar 

  39. Stauffer, M., Maergner, P., Fischer, A., Riesen, K.: Graph embedding for offline handwritten signature verification. In: International Conference on Biometric Engineering and Applications (2019)

    Google Scholar 

  40. Vargas, F., Ferrer, M., Travieso, C., Alonso, J.: Off-line handwritten signature GPDS-960 corpus. In: International Conference on Document Analysis and Recognition, pp. 764–768. IEEE (2007)

    Google Scholar 

  41. Yilmaz, M.B., Yanikoglu, B., Tirkaz, C., Kholmatov, A.: Offline signature verification using classifier combination of HOG and LBP features. In: International Joint Conference on Biometrics, pp. 1–7. IEEE (2011)

    Google Scholar 

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Acknowledgements

This work has been supported by the Swiss National Science Foundation project 200021_162852.

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Authors and Affiliations

  1. University of Applied Sciences and Arts Northwestern Switzerland, Institute for Information Systems, Riggenbachstrasse 16, 4600, Olten, Switzerland

    Michael Stauffer & Kaspar Riesen

  2. Department of Informatics, University of Fribourg, Boulevard de Pérolles 90, 1700, Fribourg, Switzerland

    Paul Maergner & Andreas Fischer

  3. University of Applied Sciences and Arts Western Switzerland, Boulevard de Pérolles 80, 1700, Fribourg, Switzerland

    Andreas Fischer

Authors
  1. Michael Stauffer
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  2. Paul Maergner
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  3. Andreas Fischer
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  4. Kaspar Riesen
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Correspondence to Kaspar Riesen .

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Editors and Affiliations

  1. School of Business, Institute for Information Systems, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Basel, Switzerland

    Rolf Dornberger

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Stauffer, M., Maergner, P., Fischer, A., Riesen, K. (2021). A Survey of State of the Art Methods Employed in the Offline Signature Verification Process. In: Dornberger, R. (eds) New Trends in Business Information Systems and Technology. Studies in Systems, Decision and Control, vol 294. Springer, Cham. https://doi.org/10.1007/978-3-030-48332-6_2

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