提出了一种基于人工神经网络的英文字母识别方法。
In this paper, a method of the Neural Network is proposed for the English letters recognition.
最后，用子空间分类器和BP神经网络分类器构造了一个混联模型，用于手写英文字母和数字的识别。
A mix model with the subspace classifier and BP neural network classifier was realized, which is used in handwritten English letter and number recognition.
在操作系统这一级能识别汉字和英文字母，并对它们进行同等处理。
Chinese character and English alphabet can be recognized at operating system level and can be treated equally.
船舶识别号由英文字母CN和11位阿拉伯数字组成。
The ship identification number shall comprise English letters "CN" and 11 Arabic numerals.
该文就自动评阅系统中手写英文字母的识别问题提出一种简单高效的识别方法。
Aimed at the Recognition of Handwritten English Alphabet in Automatic Judge System, the paper presents a simple and effective method.
手写输入时无需转换，自动识别文字、英文字母大小写、阿拉伯文、阿拉伯数字、葡萄牙文、越南文。无需转换，应用快捷而方便。
No need to change handwritten input, automatic identification of words, case letters, Arabic, Arabic number, Portuguese, Vietnamese. without conversion and application fast and convenient.
本文除了可以识别语音命令外，还能够识别26个英文字母和一些简单的英文单词，并且把识别的结果显示在记事本的编辑区中。
Except recognizing speech command, the system can also recognize 26 English characters and some simple English letters, and make the result of recognition display on the screen.
本文除了可以识别语音命令外，还能够识别26个英文字母和一些简单的英文单词，并且把识别的结果显示在记事本的编辑区中。
Except recognizing speech command, the system can also recognize 26 English characters and some simple English letters, and make the result of recognition display on the screen.
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