Combined Recognition System for Handwritten Pinyin
Zhu Meng, Changsong Liu, Yutian Chen, Yanming Zou · Jisuanji gongcheng · 2010
Handwritten device users are easy to forget how to write a certain Chinese character.It is necessary to provide Pinyin input method for them.This paper constructs a Pinyin word recognition system through classifier fusion style.It obtains the cutting point of Pinyin word by Hidden Markov Model(HMM) classifier,accomplishes after-recognition fusion by using recognition module for statistic characteristic,studies and improves the base line extraction method for Pinyin word.Experimental results show that this method can recognize 91.37% test samples from 17 745 ones.