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A Survey on Methods for Basic Unit Segmentation in Off-Line Handwritten Text Recognition
Aysadet Abliz,Wujiahemaiti Simayi,Kamil Moydin,Askar Hamdulla 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.11
Studies on recognizing different kind of handwritten texts have been conducted and achieved great success for some letters. This paper reviews the segmentation techniques on English handwritten recognition, which is one of the most successful one up to date. Also, considering the very much relations between Arabic and Uyghur which we are aiming to get progress on its handwritten recognition technology, references from Arabic handwritten recognition are very much hoped to get. Characteristics of Uyghur handwriting texts and some of the encountered difficulties are described. Then referencing the successful work on English and Arabic basic unit segmentation, this paper tries to give some suggestions for Uyghur basic unit segmentation research.