Title :
Revealing the hidden Markov recognizer
Author_Institution :
Res. Center, Daimler-Benz AG, Ulm, Germany
Abstract :
The article describes a tool for visualizing hidden Markov recognizers (HMR) which allows the developer to get a detailed view of the recognition process. Improvements are suggested for a hidden Markov recognizer using an appropriate processing and visualization tool
Keywords :
data visualisation; document image processing; handwriting recognition; hidden Markov models; optical character recognition; character recognition; cursive hand script recognition; hidden Markov model; hidden Markov recognizers; visualization tool; Costs; Data mining; Data visualization; Hidden Markov models; Image recognition; Skeleton; Statistical analysis; Topology; Training data; Viterbi algorithm;
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
DOI :
10.1109/ICDAR.1997.620563