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recognize
- 用VC++6.0开发的一个手写字符识别系统，联机输入签名，可以识别数字，字母和汉字．-developed a handwriting character recognition system, on-line input signatures can identify numbers, letters and Chinese characters.
weizishibie
- mydate.dat为字库先点击file, 点open，读入字库 学习时字库自动保存 已有键盘字符，字母，数字和简单汉字 如要识别复杂汉字，请先用学习功能-mydate.dat Click on the first character of the file, open point, Reading into the character study of character has been preserved automatic keyboard characte
bp-char
- 基于神经网络的字符识别系统， 对数字，字母都可以识别
vc_character_recognization
- mydate.dat为字库 先点击file, 点open，读入字库 学习时字库自动保存 已有键盘字符，字母，数字 和简单汉字 如要识别复杂汉字，请先用学习功能-mydate.dat first hits for the font file, point open, read into the character has to learn the keyboard automatically saved when the font characters, letters, nu
Chinese_character_recognition
- 学习时字库自动保存 已有键盘字符，字母，数字 和简单汉字 如要识别复杂汉字，请先用学习功能-Chinese character recognition
CharR1
- 利用BP神经网络实现字符的自动识别，主要是识别数字，改进后也识别字母~-BP neural network using automatic character recognition is to identify the major figures, improved after identification letters ~
A-OCR
- 简单字符识别 MATLAB实现 识别字母数字-Character recognition to achieve a simple MATLAB
shuzishibie
- 以数字与字母识别系统的基本处理流程为主线，从待识别数据的获取入手，通过预处理、特征的提取与选择，到分类器的设计等部分都进行了较为详尽的分析与研究，MATLAB仿真实验表明；采用最小距离法对所给出的一组数字及字符图片进行不同的分块识别，最终得出分8块识别率为85.71 ；分16块识别率为95.71 ；分20块识别率为95 ；具有较高的识别率。-The basic process flow of the numbers and letters recognition system as the ma
nnetwk
- 一个基于BP神经网络的matlab手写识别程序，可识别0-9的数字，如果加点英文字母的图片，再改改参数，应该能识别英文。-Based on BP neural network matlab handwriting recognition program that identifies 0-9, if the English alphabet picture plus point, and then changed the parameters, should be able to identif
shuzishibie
- BP神经网络识别系统中的数字识别环节C++代码，将输入的数字或字母的信息特点与已有值比较匹配-Features information on BP neural network recognition system link C++ digital identification code, enter the number or letter of the existing value comparison match
第 08 章 基于知识库的手写体数字识别
- 通过深度学习，利用已有库文件提取手写体图信息。与数据库中的内容进行对比，来识别手写体字母。(Through in-depth learning, handwritten graphic information is extracted from existing library files. Compare with the content in the database to recognize handwritten letters.)