Probabilistic Model for Segmentation Based Word Recognition with Lexicon

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Venue:
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Year:
2001

Citing 0
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Abstract

Abstract: In this paper we describe the construction of a model for off-line word recognizers based on over-segmentation of input image and recognition of segment combinations as characters in a given lexicon word. One such recognizer, Word Model Recognizer (WMR), is used extensively. Based on the proposed model it was possible to improve the performance of WMR.