]> 2026-04-04T13:55:11+02:00 Publications:Offline handwritten Amharic word recognition 500 en <p>This paper describes two approaches 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 a set of 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 a dataset of unconstrained handwritten documents collected from various sources, and promising results are obtained. (C) 2011 Elsevier B.V. All rights reserved.</p> http://dx.doi.org/10.1016/j.patrec.2011.02.007 http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:408370 1099 8 Pattern Recognition Letters Journal Paper 1089 Offline handwritten Amharic word recognition 32 2011 2016-09-30T20:41:09Z 2457662.3619097 Offline handwritten Amharic word recognition 500 0 plainlist list 1 [[:Publications:Offline handwritten Amharic word recognition]] Offline handwritten Amharic word recognition# QUERY5e01d60b6b589031bef35e7d14f1f1f7 500 [2,"smw-datavalue-property-restricted-annotation-use","Publisher"] Offline handwritten Amharic word recognition# ERR6c155b5d70b69ddb590b4f2e73389c2a 500 [2,"smw-datavalue-property-restricted-annotation-use","Author"] Offline handwritten Amharic word recognition# ERRe24f17e090c98448f3de99d03182b7b6