Offline Signature Verification based on Centerline Similarities

Erika Griechisch; Gábor Németh

doi:10.69525/jasqde.219

Offline Signature Verification based on Centerline Similarities

Journal of the American Society of Questioned Document Examiners

Volume 18 (2015): Issue 2

By: Erika Griechisch and Gábor Németh

Open Access

|Dec 2015

Abstract

Digital signatures are becoming increasingly common in author identification. However, handwritten signatures play an important role in different aspects of life like business and the banking sector. Offline signature verification methods analyze the images and shapes of the signatures. Several methods use skeleton that is a frequently used shape descriptor that summarizes the general form of objects.
Here, we present an offline signature verification method which is based on similarity measures designed for a comparison of 2D skeleton-like shape features. The proposed method was evaluated on the publicly available SigComp2011 and SigWiComp2013 databases. The results that we obtained are competitive with the systems submitted to two recent signature verification competitions.

References

Abbas, N. and Chibani, Y. (2011). Combination of off-line and on-line signature verification systems based on SVM and DST. In Proc. of 11th Int. Conf. on Intelligent Systems Design and Applications (ISDA) 2011, pp. 855–860.
Search in Google Scholar Back to article
Atanasiu, V. (2011). Forensic vs. computing writing features as seen by rex, the intuitive document retriever. In Proc. of Int. Workshop on Automated Forensic Handwriting Analysis (AFHA) 2011, pp. 16–20.
Search in Google Scholar Back to article
Atanasiu, V., Likforman-Sulem, L., and Vincent, N. (2011). Writer retrieval—exploration of a novel biometric scenario using perceptual features derived from script orientation. Proc. of Int. Conf. on Document Analysis and Recognition, 0:628–632.
Search in Google Scholar Back to article
Azzopardi, G. and Camilleri, K. P., (2008). Offline Handwritten Signature Verification using Radial Basis Function Neural Networks, In Proc. WICT, Malta.
Search in Google Scholar Back to article
Baltzakis, H. and Papamarkos, N. (2001). A new signature verification technique based on a two-stage neural network classifier. Engineering applications of Artificial intelligence, 14(1):95–103.
Search in Google Scholar Back to article
Besl, P. J. and McKay, N. D. (1992). Method for registration of 3-D shapes. Proc. SPIE, 1611:586–606.
Search in Google Scholar Back to article
Canny, J. (1986). A computational approach to edge detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 8(6):679–698, Nov 1986. ISSN 0162-8828. doi: 10.1109/TPAMI.1986.4767851.
Open DOI Search in Google Scholar Back to article
S. Chen and S. Srihari. (2005). Use of exterior contours and shape features in off-line signature verification. In Proc. of Int. Conf. on Document Analysis and Recognition (ICDAR) 2005, pp. 1280–1284. IEEE Computer Society, 2005. ISBN 0-7695-2420-6.
Search in Google Scholar Back to article
de Medeiros Napoles, S.H.L. and Zanchettin, C. (2012). Offline handwritten signature verification through network radial basis functions optimized by differential evolution. In Proc. of Int. Joint Conference on Neural Networks (IJCNN) 2012, pp. 1–5.
Search in Google Scholar Back to article
Dehghan, M., Faez, K., and Fathi, M. (1997). Signature verification using shape descriptors and multiple neural networks. In Proc. of IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications, volume 1, pp. 415–418. IEEE.
Search in Google Scholar Back to article
Frias-Martinez, E., Sanchez, A., and Velez, J. (2006). Support vector machines versus multi-layer perceptrons for efficient off-line signature recognition. Engineering Applications of Artificial Intelligence, 19(6):693–704, 2006.
Search in Google Scholar Back to article
Gonzalez, R.C. and Woods, R.E. (2008). Digital Image Processing. Pearson/Prentice Hall, 2008. ISBN 9780131687288.
Search in Google Scholar Back to article
Goshtasby, A. Image Registration—Principles, Tools and Methods. (2012). Advances in Computer Vision and Pattern Recognition. Springer. ISBN 978-1-44712457-3.
Search in Google Scholar Back to article
Huang, K. and Yan, H. (2002). Off-line signature verification using structural feature correspondence. Pattern Recognition, 35(11):2467–2477.
Search in Google Scholar Back to article
Impedovo, D. and Pirlo, G. (2008). Automatic signature verification: The state of the art. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 38(5):609–635.
Search in Google Scholar Back to article
Impedovo, D., Pirlo, G., Sarcinella, L., Stasolla, E., and Trullo, C.A. (2012). Analysis of stability in static signatures using cosine similarity. In Proc. of Int. Conf. on Frontiers in Handwriting Recognition (ICFHR) 2012, pages 231–235.
Search in Google Scholar Back to article
Ismail, M.A. and Gad, S. (2000). Off-line arabic signature recognition and verification. Pattern Recognition, 33(10):1727–1740.
Search in Google Scholar Back to article
Justino, E. JR, Yacoubi, A., Bortolozzi, F., and Sabourin, R. (2000). An off-line signature verification system using hmm and graphometric features. In Proc. Fourth IAPR International Workshop on Document Analysis Systems (DAS), pp 211–222..
Search in Google Scholar Back to article
Justino, E. J.R., Bortolozzi, F., and Sabourin, R. (2005). A comparison of SVM and HMM classifiers in the off-line signature verification. Pattern Recognition Letters, 26(9):1377–1385.
Search in Google Scholar Back to article
Kalera, M. K., Srihari, S., and Xu, A. (2004). Offline signature verification and identification using distance statistics. International Journal of Pattern Recognition and Artificial Intelligence, 18(07):1339–1360.
Search in Google Scholar Back to article
Kelly, J.S. and Lindblom, B.S. (2006). Scientific Examination of Questioned Documents, Second Edition. Forensic and Police Science Series. Taylor & Francis, 2006. ISBN 9781420003765.
Search in Google Scholar Back to article
Kisku, D. R., Gupta, P., and Sing, J. K. (2010). Offline signature identification by fusion of multiple classifiers using statistical learning theory. International Journal of Security & Its Applications, Jul 2010, Vol. 4 Issue 3, p 35.
Search in Google Scholar Back to article
Lee, S.-W., Lam, L., and Suen, C.Y. (1994). A systematic evaluation of skeletonization algorithms. Thinning Methodologies for Pattern Recognition, 8:239–261.
Search in Google Scholar Back to article
Lee, S.W. (1999). Advances in Handwriting Recognition. Series in Machine Perception and Artificial Intelligence. World Scientific. ISBN 9789810237158.
Search in Google Scholar Back to article
Liwicki, M., Malik, M.I., van den Heuvel, C.E., Chen, X., Berger, C., Stoel, R., Blumenstein, M., and Found, B. (2011). Signature verification competition for online and offline skilled forgeries (sigcomp2011). In Proc. of Int. Conf. on Document Analysis and Recognition (ICDAR) 2011, pp 1480–1484.
Search in Google Scholar Back to article
Malik, M.I., Liwicki, M., Alewijnse, L., Ohyama, W., Blumenstein, M., and Found, B. (2011). ICDAR 2013 competitions on signature verification and writer identification for on- and offline skilled forgeries (SigWiComp2013). In Proc. 12th International Conference on Document Analysis and Recognition (ICDAR) 2013, pp 1477–1483, Aug 2013. doi: 10.1109/ICDAR.2013.220.
Open DOI Search in Google Scholar Back to article
Mandal, R., Roy, P. P., and Pal, U. (2011) Signature segmentation from machine printed documents using conditional random field. In Proc. of Int. Conf. on Document Analysis and Recognition (ICDAR) 2011, pp. 1170–1174. IEEE.
Search in Google Scholar Back to article
Morris, R. and Morris, R.N. (2000). Forensic Handwriting Identification: Fundamental Concepts and Principles. Academic. ISBN 9780125076401.
Search in Google Scholar Back to article
Pirlo, G. and Impedovo, D. (2010). On the measurement of local stability of handwriting: An application to static signature verification. In IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) 2010, pp. 41–44.
Search in Google Scholar Back to article
Plamondon, R. (1995). A kinematic theory of rapid human movements: Part I: Movement representation and generation. Biological Cybernetics, 72(4):295–307.
Search in Google Scholar Back to article
Plamondon, R. and Djioua, M. (2006). A multi-level representation paradigm for handwriting stroke generation, Human Movement Science, 25(4-5):586607.
Search in Google Scholar Back to article
Plamondon, R. and Srihari, S.N. (2000). Online and off-line handwriting recognition: a comprehensive survey. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(1):63–84.
Search in Google Scholar Back to article
Pourshahabi, M.R., Sigari, M.H., and Pourreza, H.-R. (2009). Offline handwritten signature identification and verification using contourlet transform. In Proc. of Int. Conf. of Soft Computing and Pattern Recognition (SOCPAR) 2009, pp. 670–673.
Search in Google Scholar Back to article
Rathi, A., Rathi, D., and Astya, P. (2012). Offline handwritten signature verification by using pixel based method. International Journal of Engineering Research and Technology (IJERT), 1. ISSN 2278-0181.
Search in Google Scholar Back to article
Shanker, A.P. and Rajagopalan, A.N. (2007). Offline signature verification using DTW. Pattern Recognition Letters, 28(12):1407–1414.
Search in Google Scholar Back to article
Siddiqi, K. and Pizer, S. (2008). Medial Representations: Mathematics, Algorithms and Applications. Springer Publishing Company, Incorporated, 1st edition. ISBN 1402086571, 9781402086571.
Search in Google Scholar Back to article

Articles in this issue

DOI: https://doi.org/10.69525/jasqde.219 | Journal eISSN: 1524-7287

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Language: English

Page range: 17 - 27

Published on: Dec 1, 2015

Published by: American Society of Questioned Document Examiners

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© 2015 Erika Griechisch, Gábor Németh, published by American Society of Questioned Document Examiners
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 18 (2015): Issue 2