The latest progress of chinese character recognition and the research prospect is presented in the last of this paper 文章最后介绍了汉字识别的最新进展，并对其研究方向做了展望。
The application of license plate recognition system is restricted by the efficiency of license plate character recognition 摘要车牌汉字识别效率一直是制约车牌自动识别系统推广应用的瓶颈。
In this project , a new handwritten character recognition system has been designed successfully , which has 3 levels 本项目在汉字识别领域最新成果的基础上设计并开发了三级识别策略的汉字识别系统。
Gross and fine classification methods are used for chinese character recognition , respectively with a 4 - dimension and 72 - dimension vector 对汉字识别采取粗、细二级分类方法，分别选择了4维和72维特征向量。
According to the features of license plate , the characters in the plate are divided into two groups . chinese charaters and none chinese charaters 针对牌照的特点，牌照识别模块同样划分为汉字识别和非汉字字符识别两部分。
According to markov language model , use this probabilistic relationship between the chinese characters into chinese character post - processing 根据markov语言模型，将同现概率这种文本上下文相关信息应用到汉字识别后处理中。
Obviously , it is very important for chinese character recognition , even for image recognition that we do some research on the course of man ocular apperceive 显然，研究机器模仿人类的视觉感知过程不论对汉字识别，乃至图像识别都是具有极其重要意义的。
The directional feature is considered suitable for handwriten chinese character recognition , and it has been widely used as one of the main feature extraction method 摘要网格方向特征在手写体汉字识别系统中得到广泛应用，被认为是目前较成熟的手写体汉字特征之一。
