An Adaptive Approach to Offline Handwritten Word Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Format-Driven Handwritten Word Recognition System
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Word Separation of Unconstrained Handwritten Text Lines in PCR Forms
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
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An efficient system which finds the best match between an input image and a lexicon is presented. To capture writing style of spacing between words and characters prime stroke analysis based on statistical methods is introduced.A method for estimating bound on number of characters without actual recognition is also presented. For system efficiency, before actual recognition, classified groups of word segments and eligible subset of lexicons are generated as hypotheses. The hypotheses are verified and ordered by a lexicon driven word recognizer. We have tested our approach in the street name recognition/interpretation for US mail stream. Experimental results and encouraging.