A Novel Method for Recognition of Handwritten Chemical Symbols Based on MQDF
Chemical symbols recognition is a base component in online handwritten chemical formulas recognition which has been paid more and more attention. This paper adopts 108 chemical symbols which are comprised of inorganic chemical symbols, organic ring structures, chemical bonds and laboratory apparatus. The recognizing process is divided into four steps. The first is adjusting and optimizing the handwritten data. Then, eight-directional features are extracted from each trajectory point. In the third stage, the features are optimized by maximum filter and Gaussian filter. The MQDF classifier is used for recognition of handwritten chemical symbols at last. Experimental results show that the proposed method is robust and flexible.
eight-directional features handwritten chemical symbols MQDF
Jufeng Yang Kai Wang Mingda Li Jing Xu
College of Information Technical Science NanKai University Tianjin,China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
1511-1514
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）