Paper
18 January 2010 A combined recognition system for online handwritten Pinyin input
Author Affiliations +
Proceedings Volume 7534, Document Recognition and Retrieval XVII; 753411 (2010) https://doi.org/10.1117/12.840117
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
We have developed an online pinyin recognition system which combined hmm method and statistic method together. Pinyin recognition is useful for those who may forget how to write a certain Chinese character but know how to pronounce it. We combined HMM model and statistic model to segment a word and recognize it. We have achieved a writer-independent accuracy of 91.37% for 17745 unconstrained-style Pinyin syllables.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Meng Zhu and Changsong Liu "A combined recognition system for online handwritten Pinyin input", Proc. SPIE 7534, Document Recognition and Retrieval XVII, 753411 (18 January 2010); https://doi.org/10.1117/12.840117
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KEYWORDS
Optical character recognition

Feature extraction

Statistical modeling

Rule based systems

Data modeling

Image segmentation

Intelligence systems

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