Publications:Offline Handwritten Amharic Word Recognition Using HMMs


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Title Offline Handwritten Amharic Word Recognition Using HMMs
Author Yaregal Assabie and Josef Bigun
Year 2009
PublicationType Book Chapter
HostPublication Proceedings SSBA '09 : Symposium on Image Analysis, Halmstad University, Halmstad, March 18-20, 2009
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Abstract This paper describes two appraches for Amharic word recognition in unconstrained handwritten text using HMMs. The first approach builds word models from concatenated features of constituent characters and in the second method HMMs of constituent characters are concatenated to form word model. In both cases, the features used for training and recognition are primitive strokes and their spatial relationships. The recognition system does not require segmentation of characters but requires text line detection and extraction of structural features, which is done by making use of direction field tensor. The performance of the recognition system is tested by DEHR dataset of unconstrained handwritten documents collected from various sources.