资源列表
02033dataexchange
- C++Buider的列表框的数据交换，从一个列表框到另外一个列表框-C Buider box for a list of the exchange of information, from a list box to another in a list box
VerifiyOCR
- 一般情况下通用的图片验证码识别，具有自学习过程，很有参考价值-definitive picture verification code identification, self-learning process of great reference value
piccut
- 本程序包含车牌处理要求的一些处理，如256色转灰度，中值滤波，车牌截取，车牌定位等。-the registration process includes the processing requirements, such as 256-color to gray, median filtering plates interception, registration and orientation, and so on.
FaceIdEval
- 该程序包含四种人脸识别优秀算法，PCA +LDA，BIC，EBGM。-The program contains four outstanding face recognition algorithm, PCA, the PCA LDA, BIC, elastic bunch graph matching.
hafu1ine
- 这个程序可以识别图像中的线段或者直线，算法采用哈夫变换，将直线变换为另一个坐标系中的点，进而完成识别。-this procedure can identify the image or straight line segments, Hough transform algorithm. Linear transformation of coordinate system to another's point, thus completing the identification.
face_detect
- 人脸检测代码。算法都是基本的。程序也有较大局限性，不过作为参考还是有价值的。-face detection code. Algorithms are basic. Procedures also have been quite limited, but as a reference or value.
classifier_linear
- 模式识别中线性判别分类器的C++源码，非常容易集成和使用！-pattern recognition linear discriminant classifier C source code, and is easy to integrate and use!
facedetectDLL_expressions
- 人脸检测和表情识别的动态链接库，并且含有C++调用的例子，非常适合研究人脸识别和表情识别！-face detection and expression recognition of the dynamic link library, called C and contain examples very suitable for the study face recognition and facial recognition!
classifier_distance
- 模式识别中的距离分类器C++源代码，并含有一个文字识别的例子，适合模式识别、图像识别开发用！-pattern recognition of distance classifier C source code, and contains an example of character recognition, suitable for pattern recognition, Image Recognition by the development.
imagetoasc
- 图象文件转换为asc码image to ascII -image file conversion for asc code image to ascII
corner_detect
- 原创的角点检测程序，使用 VC++ 编写，通过调用 Intel 的 OpenCV 库实现。-original corner detection, the use of VC prepared by calling Intel's OpenCV library implementation.
UnicodeOCRCode
- This code recognizes typed latin optical characters and outputs the corresponding Unicode value and character. It is implemented using Artificial Neural Network methods and can be trained for any available font type.-This code recognizes typed latin