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ICPR
2008
IEEE

Lexicon-based offline recognition of Amharic words in unconstrained handwritten text

13 years 28 days ago
Lexicon-based offline recognition of Amharic words in unconstrained handwritten text
This paper describes an offline handwriting recognition system for Amharic words based on lexicon. The system computes direction fields of scanned handwritten documents, from which pseudocharacters are segmented. The pseudo-characters are organized based on their proximity and direction to form text lines. Words are then segmented by analyzing the relative gap between subsequent pseudo-characters in text lines. For each segmented word image, the structural characteristics of pseudocharacters are syntactically analyzed to predict a set of plausible characters forming the word. The most likelihood word is finally selected among candidates by matching against the lexicon. The system is tested by a database of unconstrained handwritten Amharic documents collected from various sources. The lexicon is prepared from words appearing in the collected database. Experimental results are reported.
Yaregal Assabie, Josef Bigün
Added 05 Nov 2009
Updated 05 Nov 2009
Type Conference
Year 2008
Where ICPR
Authors Yaregal Assabie, Josef Bigün
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