A comparison of character n-grams and dictionaries used for script recognition

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 2001-January, Issue , 2001, Pages 241-245

  Brakensiek, Anja ^a   Rigoll, Gerhard ^a  

^a UNIVERSITY OF DUISBURG ESSEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; HIDDEN MARKOV MODELS; MARKOV PROCESSES; PHOTOCOPYING;

BACKOFF; HIDDEN MARKOV MODELS (HMMS); HYBRID MODEL; LANGUAGE MODEL; RECOGNITION SYSTEMS; VECTOR QUANTIZERS; VOCABULARY RECOGNITION; WRITER DEPENDENT;

CHARACTER RECOGNITION;

EID: 33947370150     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2001.953791     Document Type: Conference Paper

References (13)

1. I. Bazzi, R. Schwartz, and J. Makhoul. An Omnifont Open-Vocabulary OCR System for English and Arabic. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(6):495-504, June 1999.
2. A. Brakensiek, A. Kosmala, D. Willett, W. Wang, and G. Rigoll. Performance Evaluation of a New Hybrid Modeling Technique for Handwriting Recognition Using Identical On-Line and Off-Line Data. In 5th International Conference on Document Analysis and Recognition (ICDAR), pages 446-449, Bangalore, India, Sept. 1999.
3. A. Brakensiek, D. Willett, and G. Rigoll. Improved Degraded Document Recognition with Hybrid Modeling Techniques and Character N-Grams. In 15th Int. Conference on Pattern Recognition (ICPR), Volume 4, pages 438-441, Barcelona, Spain, Sept. 2000.
4. P. Clarkson and R. Rosenfeld. Statistical Language Modeling Using the CMU-Cambridge Toolkit. In Proc. Eurospeech '97, pages 2707-2710, Rhodes, Greece, Sept. 1997.
5. A. Elms, S. Procter, and J. Illingworth. The advantage of using an HMM-based approach for faxed word recognition. Int. Journal on Document Analysis and Recognition (IJDAR), 1:18-38, 1998.
6. C. Neukirchen and G. Rigoll. Advanced Training Methods and New Network Topologies for Hybrid MMI-Connectionist/HMM Speech Recognition Systems. In IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 3257-3260, Munich, Apr. 1997.
7. J. Pitrelli and E. Ratzlaff. Quantifying the Contribution of Language Modeling to Writer-Independent On-Line Handwriting Recognition. In 7th Int. Workshop on Frontiers in Handwriting Recognition (IWFHR), pages 383-392, Amsterdam, Netherlands, Sept. 2000.
8. R. Plamondon and S. Srihari. On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 22(1):63-84, Jan. 2000.
9. L. Rabiner and B. Juang. An Introduction to Hidden Markov Models. IEEE ASSP Magazine, pages 4-16, 1986.
10. M. Schenkel and M. Jabri. Low resolution, degraded document recognition using neural networks and hidden Markov models. Pattern Recognition Letters, 19:365-371, 1998.
11. M. Schüßler and H. Niemann. A HMM-based System for Recognition of Handwritten Adress Words. In 6th International Workshop on Frontiers in Handwriting Recognition (IWFHR), pages 505-514, Taejon, Korea, 1998.
12. T. Steinherz, E. Riylin, and N. Intrator. Offline cursive sript word recognition - a survey. Int. Journal on Document Analysis and Recognition (IJDAR), 2:90-110, 1999.
13. D. Willett, C. Neukirchen, and G. Rigoll. Ducoder - the Duisburg University LVCSR Stackdecoder. In IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 1555-1558, Istanbul, Turkey, June 2000.