英文字符识别率依然有待提高，它是进一步改善英文文档识别性能的重要内容。
English Character recognition is an important content to improve the capability of English document recognition system, and its still being improved.
研究者通常将数字识别和英文字符识别放到一起研究，是因为这两者是没有本质区别的。
Researchers usually put together with the number and character study, it is because there is no essential difference between the two object.
该文使用了网格搜索和双线性搜索两种方法进行参数选择，并将两者的优点综合。应用于脱机手写体英文字符识别。
This paper uses grid search and two-line search to select the two parameters, and combines the advantage of the two methods to the application on Handwritten English Character Recognition.
聚类和识别实验表明双投影归一化向量不仅计算简单，而且对同种字体不同字号的英文字符识别可达到较好的结果。
Some experiments show that double projection normalization vectors are not only easy to be calculated, but also good for recognizing English characters with the same font but in different sizes.
聚类和识别实验表明双投影归一化向量不仅计算简单，而且对同种字体不同字号的英文字符识别可达到较好的结果。
Some experiments show that double projection normalization vectors are not only easy to be calculated, but also good for recognizing English characters with the same font but in different sizes.
应用推荐