Handwritten Uighur character segmentation and performance evaluation

Jing Li; Zhaoyang Lu; Adili Yimiti; Fuxiu Tan

doi:10.1117/12.920349

13 January 2012 Handwritten Uighur character segmentation and performance evaluation

Jing Li, Zhaoyang Lu, Adili Yimiti, Fuxiu Tan

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 83491E (2012) https://doi.org/10.1117/12.920349
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

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.

Citation Download Citation

Jing Li, Zhaoyang Lu, Adili Yimiti, and Fuxiu Tan "Handwritten Uighur character segmentation and performance evaluation", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83491E (13 January 2012); https://doi.org/10.1117/12.920349

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