搜索资源列表
minishell_course.tar
- 类似系统shell功能的源代码,包括前后台调度,特殊字符的识别,多重管道的编写-Shell functions similar system source code, including the front and back movements and special character recognition, the preparation of multiple channels
BP
- 在VC下实现汉字或字符的识别，初次做，效果不是很理想-Achieve in the VC characters or characters of the recognition, the first time I think, is not very good
ocr123
- 光学字符识别（即OCR）技术。给出了一些基于linux/KDE的英文OCR代码，该代码对于如何实现一个OCR系统有很好的启发性。-Optical character recognition (ie OCR) technology. Gives some based on linux/KDE English OCR code, the code for how to achieve an OCR system is a good instructive.
Src
- 车牌定位，使用车牌识别的全部流程，包括车牌定位，车牌的字符分割，和最后的车牌识别，个人觉得很不错哦-License Plate Location
Connection
- 对4幅字符图像进行字符分割（基本要求）以及字符识别。或者对一段视频中的每帧图像进行字符分割与识别。-Four character image segmentation of the characters (basic requirements) and character recognition. Each frame in a video character segmentation and recognition.
console
- 串口接口解析程序,能识别及解析按键字符或数字发过来的信息及显示出来-com program
htk-3.3
- HTK是英国剑桥大学开发的一套基于C语言的隐马尔科夫模型工具箱，主要应用于语音识别、语音合成的研究，也被用在其他领域，如字符识别和DNA排序等。HTK是重量级的HMM版本。-Cambridge University HTK is a C-based language developed by the Hidden Markov Model Toolkit, mainly used in speech recognition, speech synthesis research, has also
GetGBChar2.03V720131115
- 1-支持unicode和GB2312 2-自动识别 3-显示采用缓冲，不闪屏 4-自动统计字符 5-生成C标准数组-1- support unicode and GB2312 2- Automatic identification 3- messages showing the use of buffering, no splash screen 4- Auto statistical character 5- generate C standard ar
pdfcopier
- 这是我编写的一个适用于医学写作者的中文pdf扫描识别的文档字符格式化工具，针对万网、CNKI的文献常见的编码问题如标点格式、中英文全半角、多余的换行符等自动转换。基本上复制文档内容时候，开着这个软件就可以自动对剪切板的数据转换，直接复制到word写作即可。-This is for medical writers I write a PDF scanned documents in Chinese character formatting tools, networks, CNKI literat
oqningu827
- 联机数字,英文字符及汉字识别程序源码,做得很不错哟！-Online digital, English characters and Chinese character recognition program source code, very good!
debddpingsescaperegularly
- OCR字符识别技术开发源代码,WINDOWS应用程序开发,字符识别技术()
Python_VLPR-master
- 基于树莓派B+版本的车牌识别设计，辨识部分以树莓派3B+/3B为核心处理器，基于Linux平台，通过python3.5和OpenCV来对含有车牌信息的图片，进行高斯去噪、灰度化、边缘检测、二值化、闭操作、字符分割、字符识别匹配等一系列图像处理操作最终实现车牌识别这个系统。(Based on the design of license plate recognition of raspberry pie B+version, the recognition part takes raspberry