Nearest neighbor based collection OCR

ACM International Conference Proceeding Series

Volumn , Issue , 2010, Pages 207-214

  Pramod, Sankar K ^a   Jawahar, C V ^a   Manmatha, R ^b  

^a INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^b Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

K-MEANS; NEAREST NEIGHBOR ALGORITHM; NEAREST NEIGHBORS; PROFILE FEATURES;

ELECTRONIC WARFARE; LABELS; OPTICAL CHARACTER RECOGNITION; QUERY LANGUAGES;

LINGUISTICS;

EID: 77954962533     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1815330.1815357     Document Type: Conference Paper

References (36)

1. Universal Library at: http://www.ulib.org.
2. Digital Library of India at: http://dli.iiit.ac.in.
3. E. Ataer and P. Duygulu. Matching Ottoman words: An image retrieval approach to historical document indexing. In Proc. CIVR, pages 341-347, 2007.
4. A. Balasubramanian, M. Meshesha, and C. V. Jawahar. Retrieval from document image collections. In Proc. DAS, pages 1-12, 2006.
5. A. Bharati, P. Rao, R. Sangal, and S. M. Bendre. Basic statistical analaysis of corpus and cross comparision. In Proc. ICON, 2002.
6. A. Bosch, A. Zisserman, and X. Munoz. Scene classification using a hybrid generative/discriminative approach. Trans. PAMI, 30(4):712-727, 2008.
7. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Proc. CVPR, pages886-893, 2005.
8. R. Duda, P. Hart, and D. Stork. Pattern Classification. John Wiley, 2001.
9. S. Feng and R. Manmatha. A hierarchical, hmm-based automatic evaluation of ocr accuracy for a digital library of books. In JCDL, pages 109-118, 2006.
10. V. Govindaraju and S. Setlur, editors. Guide to OCR for Indic Scripts. Springer, Sep 2009.
11. T. K. Ho and G. Nagy. Ocr with no shape training. In Proc. ICPR, pages 4027-4030, 2000.
12. C. V. Jawahar, M. P. Kumar, and S. S. Ravikiran. A bilingual ocr system for hindi-telugu documents and its applications. In Proc ICDAR, pages 408-413, 2003.
13. T. Konidaris, B. Gatos, K. Ntzios, I. E. Pratikakis, S. Theodoridis, and S. J. Perantonis. Keyword-guided word spotting in historical printed documents using synthetic data and user feedback. IJDAR, 9(2-4):167-177, 2007.
14. A. Kumar, C. V. Jawahar, and R. Manmatha. Efficient search in document image collections. In Proc. ACCV, pages 586-595, 2007.
15. V. Lavrenko, T. M. Rath, and R. Manmatha. Holistic word recognition for handwritten historical documents. In Proc. DIAL, pages 278-287, 2004.
16. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004.
17. S. Madhvanath and V. Govindaraju. The role of holistic paradigms in handwritten word recognition. Trans. PAMI, 23(2):149-164, 2001.
18. C. Mathis and T. Breuel. Classification using a hierarchical bayesian approach. In Proc. ICPR, pages IV: 103-106, 2002.
19. M. Muja and D. G. Lowe. Fast approximate nearest neighbors with automatic algorithm configuration. In International Conference on Computer Vision Theory and Application VISSAPP'09), pages 331-340. INSTICC Press, 2009.
20. P. Natarajan, E. MacRostie, and M. Decerbo. The BBN Byblos Hindi OCR System. Guide to OCR for Indic Scripts, pages 173-180, 2009.
21. N. V. Neeba and C. V. Jawahar. Recognition of Books by Verification and Retraining. Proc. ICPR, pages 1-4, 2008.
22. A. Negi, C. Bhagvati, and B. Krishna. An OCR System for Telugu. In Proc. ICDAR, pages 1110-1114, 2001.
23. D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. In Proc. CVPR, pages 2161-2168, 2006.
24. U. Pal and B. Chaudhuri. Indian script character recognition: A survey. Pattern Recognition, 37(9):1887-1899, 2004.
25. Pramod Sankar, K., Vamshi Ambati, Lakshmi Pratha, and C. V. Jawahar. Digitizing a million books: Challenges for document analysis. In Proc. DAS, pages 425-436, 2006.
26. Pramod Sankar, K. and C. V. Jawahar. Probabilistic reverse annotation for large scale image retrieval. In Proc. CVPR, 2007.
27. V. Rasagna, A. Kumar, C. V. Jawahar, and R. Manmatha. Robust recognition of documents by fusing results of word clusters. In Proc. ICDAR, pages 566-570, 2009.
28. T. Rath and R. Manmatha. Word image matching using dynamic time warping. In Proc. CVPR, pages 521-527, 2003.
29. T. Rath, R. Manmatha, and V. Lavrenko. A search engine for historical manuscript images. In Proc. SIGIR, pages 369-376, 2004.
30. T. M. Rath and R. Manmatha. Word spotting for historical documents. IJDAR, 9(2-4):139-152, 2007.
31. S. V. Rice, G. Nagy, and T. A. Nartker. Optical Character Recognition: An Illustrated Guide to the Frontier. Kluwer, 1999.
32. J. A. Rodriguez and F. Perronnin. Local gradient histogram features for word spotting in unconstrained handwritten documents. In Proc. ICFHR, 2008.
33. P. Sarkar and G. Nagy. Style consistent classification of isogenous patterns. Trans. PAMI, 27(1):88-98, 2005.
34. J. Sivic and A. Zisserman. Video Google: A text retrieval approach to object matching in videos. In Proc. ICCV, pages 1470-1477, 2003.
35. L. von Ahn, B. Maurer, C. McMillen, D. Abraham, and M. Blum. reCAPTCHA: Human-based character recognition via web security measures. Science, 321(5895):1465-1468, 2008.
36. P. Xiu and H. S. Baird. Scaling up whole-book recognition. In Proc. ICDAR, pages 698-702, 2009.