A combination of features for symbol-independent writer identification in old music scores

International Journal on Document Analysis and Recognition

Volumn 13, Issue 4, 2010, Pages 243-259

  Fornés, Alicia ^a   Lladós, Josep ^a   Sánchez, Gemma ^a   Otazu, Xavier ^a   Bunke, Horst ^b  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^b UNIVERSITY OF BERN   (Switzerland)

Author keywords

Graphics recognition; Optical music recognition; Writer identification

Indexed keywords

CLASSIFICATION RESULTS; GRAPHICS RECOGNITION; HANDWRITTEN TEXTS; LINE FEATURES; MUSIC COMPOSITION; MUSIC NOTATION; MUSIC RECOGNITION; RECOGNITION RATES; TEXTURAL FEATURE; TEXTURE IMAGE; WRITER IDENTIFICATION;

PATTERN RECOGNITION;

EID: 78649904258     PISSN: 14332833     EISSN: 14332825     Source Type: Journal    
DOI: 10.1007/s10032-010-0123-7     Document Type: Article

References (35)

1. Bar-Yosef I., Beckman I., Kedem K., Dinstein I.: Binarization, character extraction, and writer identification of historical Hebrew calligraphy documents. Int. J. Doc. Anal. Recognit. 9(2), 89-99 (2007).
2. Bensefia A., Paquet T., Heutte L.: A writer identification and verification system. Pattern Recognit. Lett. 26(13), 2080-2092 (2005).
3. Bouletreau, V., Vincent, N., Sabourin, R., Emptoz, H.: Synthetic parameters for handwriting classification. In: Proceedings of the 4th International Conference on Document Analysis and Recognition (ICDAR), pp. 102-106. IEEE Computer Society, Washington, DC, USA (1997).
4. Bouletreau, V., Vincent, N., Sabourin, R., Emptoz, H.: Handwriting and signature: One or two personality identifiers? In: Proceedings of 14th International Conference on Pattern Recognition (ICPR), vol. 2, pp. 1758-1760 (1998).
5. Bruder, I., Ignatova, T., Milewski, L.: Integrating knowledge components for writer identification in a digital archive of historical music scores. In: Proceedings of the 4th ACM/IEEE-CS Joint Conference on Digital libraries (JCDL), p. 397. ACM, New York, NY, USA (2004). doi: 10. 1145/996350. 996463.
6. Bulacu, M., Schomaker, L.: Combining multiple features for text-independent writer identification and verification. In: Proceedings of 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR 2006), pp. 281-286 (2006).
7. De Valois R. L., Albrecht D. G., Thorell L. G.: Spatial frequency selectivity of cells in macaque visual cortex. Vision Res. 22(5), 545-559 (1982).
8. Duda R. O., Hart P. E., Stork D. G.: Pattern Classification. Wiley, London (2001).
9. Fornés, A., Lladós, J., Sánchez, G.: Primitive segmentation in old handwritten music scores. In: Liu, W., Lladós, J. (eds.) Graphics Recognition: Ten Years Review and Future Perspectives, vol. 3926 of Lecture Notes in Computer Science, pp. 279-290. Springer (2006).
10. Fornés, A., Lladós, J., Sánchez, G., Bunke, H.: Writer identification in old handwritten music scores. In: 8th International Workshop on Document Analysis Systems, pp. 347-353. Nara, Japan (2008).
11. Fornés, A., Lladós, J., Sánchez, G., Bunke, H.: On the use of textural features for writer identification in old handwritten music scores. Document analysis and recognition (ICDAR). In: Tenth International Conference on, vol. 2, pp. 996-1000 (2009).
12. Garain U., Parui S. K., Paquet T., Heutte L.: Machine dating of manuscripts written by an individual. J. Electron. Imaging SPIE. 17(1), 011012 (2008).
13. Gazzah, S., Ben Amara, N.: Arabic handwriting texture analysis for writer identification using the dwt-lifting scheme. Document analysis and recognition, 2007. ICDAR 2007. In: Ninth International Conference on, vol. 2, pp. 1133-1137 (2007). doi: 10. 1109/ICDAR. 2007. 4377092.
14. Göcke, R.: Building a system for writer identification on handwritten music scores. In: Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA), pp. 250-255. Rhodes, Greece (2003).
15. Haralick, R.: Statistical and structural approaches to texture. In: Proceedings of the IEEE, vol. 67, pp. 786-804 (1979).
16. Haralick R., Shnmugam K., Dinstein I.: Textural features for image classification. IEEE Trans. Syst. Man Cybern. Part B Cybern. 3(6), 610-621 (1973).
17. Hertel, C., Bunke, H.: A set of novel features for writer identification. In: Audio- and Video-Based Biometric Person Authentication (AVBPA), pp. 679-687 (2003).
18. Hiremath P., Shivashankar S.: Wavelet based co-occurrence histogram features for texture classification with an application to script identification in a document image. Pattern Recognit. Lett. 29(9), 1182-1189 (2008).
19. Johnson R., Kuby P.: Elementary Statistics. Duxbury Press, North Scituate (2006).
20. Kittler, J.: Pattern recognition and signal processing. In: Chen, C. H. (ed.) Feature Set Search Algorithms, pp. 41-60. Sijthoff & Noordhoff Intl Pub, Alphen aan den Rijn, Netherlands (1978).
21. Kuncheva L.: Combining Pattern Classifiers: Methods and Algorithms. Wiley, London (2004).
22. Luth, N.: Automatic identification of music notations. In: Proceedings of the Second International Conference on WEB Delivering of Music (WEDELMUSIC) (2002).
23. Marti, U., Messerli, R., Bunke, H.: Writer identification using text line based features. In: Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR), pp. 101-105 (2001).
24. Niblack W.: An Introduction to Digital Image Processing. Prentice Hall, Englewood Cliffs (1986).
25. Peake, G., Tan, T.: Script and language identification from document images. Document Image Analysis, 1997. (DIA '97) Proceedings, Workshop on pp. 10-17 (1997). doi: 10. 1109/DIA. 1997. 627086.
26. Pudil P., Novovicová J., Kittler J.: Floating search methods in feature selection. Pattern Recognit. Lett. 15, 1119-1125 (1994).
27. Said H., Tan T., Baker K.: Personal identification based on handwriting. Pattern Recognit. 33(1), 149-160 (2000).
28. Siddiqi, I., Vincent, N.: A set of chain code based features for writer recognition. Document analysis and recognition (ICDAR). In: Tenth International Conference on, vol. 2, pp. 981-985 (2009).
29. Schlapbach A., Bunke H.: A writer identification and verification system using HMM based recognizers. Pattern Anal. Appl. 10(1), 33-43 (2007).
30. Schlapbach A., Bunke H.: Off-line writer identification and verification using Gaussian mixture models. In: Marinai, S., Fujisawa, H. (eds) Machine Learning in Document Analysis and Recognition, Studies in Computational Intelligence, vol. 90, pp. 409-428. Springer, Berlin (2008).
31. Schomaker L., Bulacu M.: Automatic writer identification using connected-component contours and edge-based features of uppercase western script. IEEE Trans. Pattern Anal. Mach. Intell. 26(6), 787-798 (2004).
32. Tan, T.: Texture feature extraction via visual cortical channel modelling. In: Pattern Recognition, 1992. Vol. III. Conference C: Image, Speech and Signal Analysis, Proceedings, 11th IAPR International Conference on, pp. 607-610 (1992). doi: 10. 1109/ICPR. 1992. 202060.
33. Tan, T.: Written language recognition based on texture analysis. Image Processing, 1996. In: Proceedings, International Conference on, 1, pp. 185-188, vol. 2 (1996) doi: 10. 1109/ICIP. 1996. 560633.
34. Tuceryan M., Jain A. K.: The Handbook of Pattern Recognition and Computer Vision, 2nd edn. chap. Texture Analysis, pp. 207-248. World Scientific Publishing, Singapore (1998).
35. Zhu Y., Tan T., Wang Y.: Font recognition based on global texture analysis. Pattern Anal. Mach. Intell. IEEE Trans. 23(10), 1192-1200 (2001). doi: 10. 1109/34. 954608.