搜索资源列表
ScreenCapture_src1.01
- 仿照QQ的屏幕截图工具vc源码,对于学习GDI是非常好的参考
DSP_TEST_PRO
- --- --- --- --- --- --- --- - | Directory & Files | --- --- --- --- --- --- --- - \\ ---- CD for EduKit-II 2410 development board \\01-Cygwin install ---- the cygwin setup file(s) \\02-User s Manual ---- user manual for EduKit-I
tesseract-2.01.tar
- 这是最新版本的开源OCR软件TESSERACT.支持英文等多种语言。
OCR-AD--2.01
- OCRAD 的文字识别系统，英文识别效果相当不错！只支持引文识别，这个比tesseract差一点。-OCRAD text recognition system, recognition results have been very good English! Citation only support recognition, the ratio was almost tesseract.
tesseract-3.01-win_vs
- tesseract源代码，hp开发，后来google接管，进行OCR识别-tesseract source code, hp development, and later taken over google, the OCR recognition
tesseract-2.01
- ocr源码 文字、英文、数字智能识别，已经配置好的tesseract-2.01，采用vc6.0编译，使用方法见里面说明，不压缩的tif和单色bmp识别-ocr source text, in English, digital intelligent identification, has been configured tesseract-2.01, with vc6.0 compile, use, see the note inside, non-compressed tif and mono
01
- 联机数字、英文字符及汉字识别，vc++实现，物超所值-On-line numbers, English characters and Chinese character recognition, vc++ achieved, value for money
tesseract-ocr-3.01.heb.tar
- hebrew glyph recognition for tesseract ocr
tesseract-ocr-3.01.slk-frak.tar
- slovakian language for tesseract ocr
2013-01-17_FaceDetectionFromCamera
- 通过opencv对摄像头采集的实时图像进行面部识别并显示-By opencv face recognition camera real-time image acquisition and display
comVision
- 图片印刷字符的识别（可识别多种字体） 将Matlab工作空间路径设置为本文件夹 在Matlab命令窗口内输入： numCongnition( able1/01.jpg ) 通过改图片来对不同的图进行处理，其中able1,able2,able3三个文件夹分别对应三种字体 命令窗口输出要识别的字符，并且自动弹出中间处理过程窗口 也可以运行： num = pretreat( able1/01.jpg ) imshow(num) 直接得到预处理后的图片
TianJin
- 利用tesseract-ocr3.01识别验证码-Use tesseract-ocr3.01 identification codes
Abaqus2Matlab_Toolbox1.01
- Abaqus2Matlab是提取有限元分析程序分析结果。这个工具箱旨在提供一个有限元分析和MATLAB之间的联系,这将使有限元分析用户在MATLAB有限元分析结果进行后处理。它可以用来从一个有限元分析检索结果分析,这可以很容易地从有限元分析转移到MATLAB进行进一步处理。-Abaqus2Matlab is a program for the extraction of ABAQUS analysis results to MATLAB. It is a toolbox which aims t
tesseract-ocr-setup-3.01-1
- 这是ocr图形识别的官网最新安装包，有需要的可以下载(Installation package)
01 cats vs dogs
- 识别人脸，通过对视频中人物特征，识别人脸，通过机器学习建立模型，通过模型进行人脸识别(Recognition of human faces, recognition of human faces by characters in video, model learning by machine learning, and face recognition by model)