| 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. Keywords: Word Lexicon Reduction, Character Spotting, Finite Automata, Hidden Markov Models (HMM), Multi Layer Perceptron (MLP). |
In: L.R.B. Schomaker and L.G. Vuurpijl (Eds.)
Proceedings of the Seventh International Workshop on Frontiers
in Handwriting Recognition, September 11-13 2000, Amsterdam,
Nijmegen: International Unipen Foundation,
ISBN 90-76942-01-3
pp. 373-382.