Writer verification using texture-based features

International Journal on Document Analysis and Recognition

Volumn 15, Issue 3, 2012, Pages 213-226

  Hanusiak, R K ^a   Oliveira, L S ^b   Justino, E ^a   Sabourin, R ^c  

^a PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

^b FEDERAL UNIVERSITY OF PARANÁ   (Brazil)

^c ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR RATE; FALSE ACCEPTANCE; MAXIMUM LIKELIHOOD ANALYSIS; ROC CURVES; STATE OF THE ART; TEXTURE DESCRIPTORS; VERIFICATION SYSTEMS; WRITER VERIFICATION; WRITING STYLE;

EXPERIMENTS; MAXIMUM LIKELIHOOD ESTIMATION;

TEXTURES;

EID: 84865389261     PISSN: 14332833     EISSN: 14332825     Source Type: Journal    
DOI: 10.1007/s10032-011-0166-4     Document Type: Article

References (33)

1. Bensefia A., Paquet T., Heutte L.: A writer identification and verification system. Pattern Recogn. Lett. 26(13), 2080-2092 (2005).
2. Bertolini D., Oliveira L. S., Justino E., Sabourin R.: Reducing forgeries in writer-independent off-line signature verification through ensemble of classifiers. Pattern Recogn. 43(1), 387-396 (2010).
3. Brink, A., Schomaker, L., Bulacu, M.: Towards explainable writer verification and identification using vantage writers. In: 9th International Conference on Document Analysis and Recognition, Curitiba, Brazil, pp. 824-828 (2007).
4. Bulacu, M., Schomaker, L., Vuurpijl, L.: Writer identification using edge-based directional features. In 8th International Conference on Document Analysis and Recognition, Edinburgh, Scotland, pp. 937-941 (2003).
5. Bush A., Boles W., Sridharan S.: On measuring the distance between histograms. IEEE Trans. Pattern Anal. Mach. Intel. 27, 1721-1732 (2005).
6. Cha, S.-H., Srihari, S.: Multiple feature integration for writer verification. In: 7th International Workshop on Frontiers on Handwriting Recognition, pp. 333-342 (2000).
7. Cha S. N., Srihari S.-H.: On measuring the distance between histograms. Pattern Recogn. 35, 1355-1370 (2002).
8. Crettez, J. P.: A set of handwriting families: style recognition. In: 8th International Conference on Document Analysis and Recognition, Seoul, South Korea, pp. 489-494 (2005).
9. Fawcett T.: An introduction to ROC analysis. Pattern Recogn. Lett. 227(8), 861-874 (2006).
10. Franke, K., Bunnemeyer, O., Sy T.: Ink texture analysis for writer identification. In: 8th International Workshop on Frontiers on Handwriting Recognition, pp. 268-273 (2002).
11. Freitas, C., Oliveira, L. S., Sabourin, R., Bortolozzi, F.: Brazilian forensic letter database. In: 11th International Workshop on Frontiers on Handwriting Recognition, Montreal, Canada (2008).
12. Gobineau H., Perron R.: Génétique de l'ecriture et étude de la personnalité: Essais de graphométrie. Delachaux and Niestlé, Lausanne (1954).
13. Goldfarb L.: What is distance and why do we need the metric model for pattern learning. Pattern Recogn. 25, 431-438 (1992).
14. Haker, S., Wells, W. M., Warfield, S. K., Talos, I., Bhagwat, J. G., Goldberg-Zimring, D., Mian, A., Ohno-Machado, L., Zou, K. H.: Combining classifiers using their receiver operating characteristics and maximum likelihood estimation. In: 8th International Conference on Medical Image Computing and Computer Assisted Intervention, pp. 506-514 (2005).
15. Haralick R. M., Shanmugan K. S., Dunstein I.: Textural features for image classification. IEEE Trans. Syst. Man Cybern. 3(6), 610-621 (1973).
16. Huder R. A., Headrick A. M.: Handwriting Identification: Facts and Fundaments. CRC Press, London (2000).
17. Impedovo D., Pirlo G.: Automatic signature verification: the state of the art. IEEE Trans. Syst. Man Cybern. C 38(5), 609-635 (2008).
18. Leclerc F., Plamondon R.: Automatic signature verification: the state of the art 1989-1993. Int. J. Pattern Recogn. Artif. Intell. 8(3), 643-660 (1994).
19. Marti, U. V., Messerli, R., Bunke, H.: Writer identification using text line based features. In: 8th International Conference on Document Analysis and Recognition, Seattle, USA, pp. 101-105 (2001).
20. Morris N.: Forensic Handwriting Identification Fundamental Concepts and Principles. Academic Press, London (2000).
21. Oliveira, L. S., Justino, E., Freitas, C., Sabourin, R.: The graphology applied to signature verification. In: 12th Conference of the International Graphonomics Society, Salermo, Italy, pp. 286-290 (2005).
22. Otsu N.: A threshold selection method from gray-level histogram. IEEE Trans. Syst. Man Cybern. 8, 62-66 (1978).
23. Pekalska E., Duin R. P. W.: Dissimilarity representations allow for building good classifiers. Pattern Recogn. 23, 943-956 (2002).
24. Platt J. et al.: Probabilistic outputs for support vector machines and comparison to regularized likelihood methods. In: Smola, A. (eds) Advances in Large Margin Classifiers, pp. 61-74. MIT Press, Cambridge (1999).
25. Said H. E. S., Tan T. N., Baker K. D.: Personal identification based on handwriting. Pattern Recogn. 33, 149-160 (2000).
26. Santana, O., Travieso, C. M., Alonso, J. B., Ferrer, M. A.: Writer identification based on graphology techniques. In: 42nd Annual IEEE International Carnahan Conference on Security Technology, pp. 167-173 (2008).
27. Santini S., Jain R.: Similarity measures. IEEE Trans. Pattern Anal. Mach. Intell. 21, 871-883 (1999).
28. Schlapbach, A.: Writer Identification and Verification. PhD thesis, Bern University (2007).
29. Schlapbach A., Bunke H.: A writer identification and verification system using hmm based recognizers. Pattern Anal. Appl. 10, 33-43 (2007).
30. Schomaker L., Bulacu M.: Text-independent writer identification and verification using textural and allographic features. IEEE Trans. Pattern Anal. Mach. Intell. 29(4), 701-717 (2007).
31. Siddiqi, I., Vincent, N.: A set of chain code based features for writer recognition. In: 10th International Conference on Document Analysis and Recognition, Barcelona, Spain pp. 981-985 (2009).
32. Sollich P.: Bayesian methods for support vecotr machines: evidence and predictive class probabilities. Mach. Learn. 46(1-3), 21-52 (2002).
33. Srihari S. N., Cha S.-H., Arora H., Lee S.: Individuality of handwriting. J. Forens. Sci. 47, 1-17 (2002).