Model length adaptation of an HMM based cursive word recognition system

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

Volumn 2003-January, Issue , 2003, Pages 109-113

  Schambach, Marc Peter ^a  

^a Siemens Dematic AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION;

APPLICATION AREA; CURSIVE SCRIPT RECOGNITION; CURSIVE WORD; HMM-BASED; INITIALIZATION METHODS; LETTER WRITING; RECOGNITION METHODS; UNDERLYING SYSTEMS;

ALGORITHMS;

EID: 84945969011     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2003.1227642     Document Type: Conference Paper

References (3)

1. T. Caesar. J. Gloger. and E. Mandler. Preprocessing and feature extraction for a handwriting recognition system. In Proc. of the 2nd int. Conf. on document analysis and recognition, pages 408-411. Tsukuba Science City, Japan, Oct. 1993. IEEE Computer Society Press.
2. J. J. Hull. A database for handwriting recognition research. IEEE Transactions on Pattern Analysis and Machine Intelligence. 16(5):550-554, May 1994.
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 Int. Conf on document analysis and recognition, pages 139-142, Tsukuba Science City, Japan. Oct. 1993. IEEE Computer Society Press.