Handwritten Uighur character segmentation and performance evaluation
Jing Li, Zhaoyang Lu, Adili Yimiti, Fuxiu Tan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2012
Recognition of handwritten Uighur word is important for Uighur information automation and new generation handwritten input system development on mobile platform. Robust and accurate handwritten character segmentation algorithm provides an important prerequisite for Uighur recognition. Based on the comprehensive consideration of computation, robustness and the characteristics of the text itself, a simple but effective handwritten Uighur character segmentation algorithm is proposed. Furthermore, we develop an Uighur input system on the intelligent mobile platform, and construct a medium scale Uighur handwritten word database simultaneously. The segmentation algorithm is detailed evaluated on the database and the extensive experiments demonstrate the robustness and efficiency of the proposed algorithm.