Title :
Performance evaluation of an HMM based OCR system
Author :
Anigbogu, J.C. ; Belai, A.
Author_Institution :
CRIN-CNRS/Inria Lorraine, Vandoeuvre-les-Nancy, France
fDate :
30 Aug-3 Sep 1992
Abstract :
Presents a performance analysis of a first order hidden Markov model based OCR system. Trade-offs between accuracy in terms of recognition rates and complexity in terms of the number of states in the model are discussed. For most fonts, optimal performance is achieved with 6-state models. With adequate heuristics and reliable post-processors, 5-state and even 4-state models give reasonable performances (up to 99.60% at 4-states)
Keywords :
hidden Markov models; optical character recognition; 4-state models; 5-state models; 6-state models; accuracy; complexity; first order hidden Markov model based OCR system; fonts; performance analysis; performance evaluation; recognition rates; Algorithm design and analysis; Character recognition; Hidden Markov models; Merging; Optical character recognition software; Performance analysis; Shape; Testing; Text recognition; Viterbi algorithm;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201697
