WORD LEXICON REDUCTION BY CHARACTER SPOTTING

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.