Bag-of-features representations for offline handwriting recognition applied to Arabic script

Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR

Volumn , Issue , 2012, Pages 149-154

  Rothacker, Leonard ^a   Vajda, Szilárd ^a   Fink, Gernot A ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

Arabic handwriting recognition; Bag of features; Feature learning; Hidden Markov Models; Local image features

Indexed keywords

ARABIC HANDWRITING RECOGNITION; ARABIC SCRIPTS; BAG-OF-FEATURES; FEATURE LEARNING; FEATURE REPRESENTATION; HIDDEN MARKOV MODEL(HMM); IFN/ENIT-DATABASE; IMAGE CATEGORIZATION; LOCAL IMAGE FEATURES; OFFLINE HANDWRITING RECOGNITION; RECENT TRENDS; RESEARCH TOPICS; UNCONSTRAINED HANDWRITING;

CHARACTER RECOGNITION;

HIDDEN MARKOV MODELS;

EID: 84874278604     PISSN: 15505235     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICFHR.2012.185     Document Type: Conference Paper

References (16)

1. T. Plötz and G. A. Fink, "Markov Models for Offline Handwriting Recognition: A Survey," Int. Journal on Document Analysis and Recognition, vol. 12, no. 4, pp. 269-298, 2009.
2. U.-V. Marti and H. Bunke, "Handwritten sentence recognition," in Proc. of the Int. Conf. on Pattern Recognition, vol. 3, Barcelona, Spain, 2000, pp. 467-470.
3. M. Pechwitz and V. Märgner, "HMM based approach for handwritten Arabic word recognition using the IFN/ENITdatabase," in Proc. of the Int. Conf. on Document Analysis and Recognition, vol. 2, Edinburgh, Scotland, 2003, pp. 890-894.
4. S. O'Hara and B. A. Draper, "Introduction to the bag of features paradigm for image classification and retrieval," Computing Research Repository, vol. arXiv:1101.3354v1, 2011.
5. M. Rusiñol, D. Aldavert, R. Toledo, and J. Lladós, "Browsing heterogeneous document collections by a segmentation-free word spotting method," in Proc. of the Int. Conf. on Document Analysis and Recognition, Sep. 2011, pp. 63-67.
6. A. Coates, B. Carpenter, C. Case, S. Satheesh, B. Suresh, T. Wang, D. Wu, and A. Ng, "Text detection and character recognition in scene images with unsupervised feature learning," in Proc. of the Int. Conf. on Document Analysis and Recognition, Sep. 2011, pp. 440-445.
7. M. Pechwitz, S. S. Maddouri, V. Märgner, N. Ellouze, and H. Amiri, "Ifn/enit - database of handwritten arabic words," in Proc. of Colloque Int. Francophone sur l'Écrit et le Document, 2002, pp. 129-136.
8. M. Wienecke, G. A. Fink, and G. Sagerer, "Toward automatic video-based whiteboard reading," Int. Journal on Document Analysis and Recognition, vol. 7, no. 2-3, pp. 188-200, 2005.
9. S. Uchida and M. Liwicki, "Part-based recognition of handwritten characters," in Proc. of the Int. Conf. on Frontiers in Handwriting Recognition, Nov. 2010, pp. 545-550.
10. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. Journal of Computer Vision, vol. 60, pp. 91-110, 2004.
11. C. Harris and M. Stephens, "A combined corner and edge detector," in Alvey Vision Conf., 1988, pp. 147-151.
12. J. C. van Gemert, J. M. Geusebroek, C. J. Veenman, and A. W. M. Smeulders, "Kernel codebooks for scene categorization," in European Conf. on Computer Vision, vol. 3, 2008, pp. 696-709.
13. Y. Ke and R. Sukthankar, "PCA-SIFT: A more distinctive representation for local image descriptors," IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, vol. 2, pp. 506-513, 2004.
14. J. MacQueen, "Some methods for classification and analysis of multivariate observations," in Proc. of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, Eds., vol. 1, 1967, pp. 281-296.
15. V. Märgner and H. Abed, "ICDAR 2011 - Arabic handwriting recognition competition," in Proc. of the Int. Conf. on Document Analysis and Recognition, Sep. 2011, pp. 1444-1448.
16. G. A. Fink and T. Plötz, "Developing pattern recognition systems based on Markov models: The ESMERALDA framework," Pattern Recognition and Image Analysis, vol. 18, no. 2, pp. 207-215, 2008.