Fast script word recognition with very large vocabulary

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

Volumn 2005, Issue , 2005, Pages 9-13

  Schambach, Marc Peter ^a  

^a SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUTOMATION; COMPUTATIONAL METHODS; OBJECT RECOGNITION; VOCABULARY CONTROL;

POSTAL AUTOMATION; WORD RECOGNITION;

WORD PROCESSING;

EID: 33947403594     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2005.111     Document Type: Conference Paper

References (7)

1. A. Brakensiek and G. Rigoll. A comparison of character N-grams and dictionaries used for script recognition. In Proc. of the 6th ICDAR, pages 241-245, Seattle, WA, Sept. 2001.
2. T. Caesar, J. Gloger, and E. Mandler. Preprocessing and feature extraction for a handwriting recognition system. In Proc. of the 2nd ICDAR, pages 408-411, Tsukuba Science City, Japan, Oct. 1993. IEEE Computer Society Press.
3. A. Kaltenmeier, T. Caesar, J. Gloger, and E. Mandler. Sophisticated topology of hidden Markov models for cursive script recognition. In Proc. of the 2nd ICDAR, pages 139-142, Tsukuba Science City, Japan, Oct. 1993.
4. L. R. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-285, Feb. 1989.
5. M.-P. Schambach. Automatische Modellierung gebundener Handschrift in einem HMM-basierten Erkennungssystem. Dissertation, Universität Ulm, 2004.
6. M.-P. Schambach. A new view of the output from word recognition. In 9th IWFHR, Tokyo, Japan, Oct. 2004.
7. D. Willett, C. Neukirchen, and G. Rigoll. DUcoder - The Duisburg University LVCSR stackdecoder. In Proc. of the ICASSP, Istanbul, 2000.