Script independentword spotting in offline handwritten documents based on Hidden Markov Models

Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR

Volumn , Issue , 2012, Pages 14-19

  Wshah, Safwan ^a   Kumar, Gaurav ^a   Govindaraju, Venu ^a  

^a University at Buffalo ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND MODEL; CHARACTER MODELS; CHARACTER SEGMENTATION; FILLER MODELS; KEYWORD SPOTTING; LARGE VOCABULARY; LEXICON-BASED; MODEL SPACES; MODERN LINES; OFF-LINE HANDWRITTEN; PUBLIC DATASET; SCRIPT-INDEPENDENT; WORD SPOTTING;

SPEECH RECOGNITION;

HIDDEN MARKOV MODELS;

EID: 84874260261     PISSN: 15505235     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICFHR.2012.264     Document Type: Conference Paper

References (16)

1. Applied media analysis, arabic-handwritten-1.0. 2007.
2. Alessandro and Vinciarelli. A survey on off-line cursive word recognition. Pattern Recognition, 35(7):1433-1446, 2002.
3. A. Bhardwaj, D. Jose, and V. Govindaraju. Script independent word spotting in multilingual documents. 2nd Intl Workshop on Cross Lingual Information Access, pages 48-54, 2008.
4. J. Chan, C. Ziftci, and D. Forsyth. Searching offline arabic documents. In Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2, CVPR '06, pages 1455-1462, Washington, DC, USA, 2006. IEEE Computer Society.
5. J. Edwards, Y. W. Teh, D. Forsyth, R. Bock, and M. Maire. Making Latin manuscripts searchable using gHMMs. NIPS, 2004.
6. A. Fischer, A. Keller, V. Frinken, and H. Bunke. Lexicon-free handwritten word spotting using character hmms. Pattern Recogn. Lett., 33(7):934-942, May 2012.
7. R. Jayadevan, S. R. Kolhe, P. M. Patil, and U. Pal. Database development and recognition of handwritten devanagari legal amount words. Document Analysis and Recognition, International Conference on, 0:304-308, 2011.
8. L.-G. G. H. Johansson, S. Manual of Information to Accompany the LancasterOslo/Bergen Corpus of British English, for Use with Digital.
9. R. Manmatha, C. Han, and E. Riseman. Word spotting: a new approach to indexing handwriting. In Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on, pages 631 -637, jun 1996.
10. U.-V. Marti and H. Bunke. The iam-database: an english sentence database for offline handwriting recognition. International Journal on Document Analysis and Recognition, 5:39-46, 2002. 10.1007/s100320200071.
11. R. Plamondon and S. N. Srihari. On-line and offline handwriting recognition: A comprehensive survey. IEEE Trans. Pattern Anal. Mach. Intell., 22(1):63-84, Jan. 2000.
12. L. R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. In Proceedings of the IEEE, pages 257-286, 1989.
13. T. M. Rath and R. Manmatha. Word spotting for historical documents. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, pages 139-152, 2007.
14. J. A. Rodrguez-Serrano and F. Perronnin. Handwritten word-spotting using hidden markov models and universal vocabularies. Pattern Recognition, 42(9):2106-2116, 2009.
15. R. Saabni and J. El-Sana. Keyword searching for arabic handwritten documents. 11th International Conference on Frontiers in Handwriting recognition (ICFHR2008), pages 716-722, 2008.
16. S. N. Srihari, H. Srinivasan, C. Huang, and S. Shetty. Spotting words in latin, devanagari and arabic scripts. Artificial Intelligence, page 2006.