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Proceedings Paper

Handwritten Uighur character segmentation and performance evaluation
Author(s): Jing Li; Zhaoyang Lu; Adili Yimiti; Fuxiu Tan
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Paper Abstract

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.

Paper Details

Date Published: 13 January 2012
PDF: 8 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83491E (13 January 2012); doi: 10.1117/12.920349
Show Author Affiliations
Jing Li, Xidian Univ. (China)
Zhaoyang Lu, Xidian Univ. (China)
Adili Yimiti, Xidian Univ. (China)
Xinjiang Normal Univ. (China)
Fuxiu Tan, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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