WORD LEXICON REDUCTION BY CHARACTER SPOTTING
D. Guilevic, Daisuke Nishiwaki, Keiichiro Yamada · University of Groningen research database (University of Groningen / Centre for Information Technology) · 2004
We describe a system, currently under development, to dynamically reduce a lexicon of city names, making use exclusively of the information found in a word image. Isolated characters are `spotted\\\\\\' within the word. The recognition results on those isolated characters are then used to initialize a Hidden Markov Model (HMM) like module to dynamically reduce the lexicon.