资源列表
Kalman
- 用卡尔曼滤波跟踪目标实例，跟踪效果很好，对卡尔曼可有最基础最形象的了解。-Kalman filter to track target instance, track a good effect, may have the most basic of Kalman most vivid understanding.
MFC_OPENCV-chepai
- opencv 车牌识别源代码，可以准确的定位并检测到车牌-opencv license plate recognition source code
Chepai118
- 车牌识别系统 VC++ 使用VC++6.0做开发工具， 采用简单的SDI框架结构 ，一次处理一幅位图(有兴趣的可以作成MDI)-License Plate Recognition System VC++ using VC++6.0 to do development tools, using a simple SDI frame structure, one dealing with a bitmap (who are interested can be made MDI)
PLRECO
- 一个用VC实现的车牌识别的源代码，希望对大家有帮助-VC realize a license plate used to identify the source code, and they hope to help everyone
pattern
- 模式识别 识别26个字母,要手写字母识别，非常有用的哦-Pattern recognition to identify 26 letters, handwritten letters to identify, very useful Oh
20081014
- 简单的对网页验证图片识别程序，程序简练，可以用作对图片识别的流程了解-Simple picture of the page to verify the identification procedures, procedures concise and can be used to understand the process of picture identification
Zernike_thesis
- zernike矩在车牌识别领域的应用，其抗旋转的特性对于字符识别很有意义。-Zernike moments in the field of applications License Plate Recognition, and its anti-rotation features for character recognition meaningful.
neatestface
- 人脸识别matlab程序，pca主成分分析法，采用最小距离决策-Face recognition matlab program, pca principal component analysis method, using a minimum distance between the decision-making
lan1
- 车牌识别方法，对图像进行与预处理，使其为我们所要的尺寸，并进行HOUGH变换，使其更易分辨出来。-License Plate Recognition Method of images and pre-processing to make it for us to size, and HOUGH transform, to make it easier to be identified.
imagerec
- 车牌定位与识别系统,对图像处理和模式识别毕业设计有参考价值，VC实现图像预处理，特征提取，以及神经网络识别。-License plate location and recognition system for image processing and pattern recognition graduated design reference value, VC achieve image preprocessing, feature extraction, and neural network
CrackDector
- 长条形裂缝监测 用VTK实现的Canny算法 得到的轮廓进行形状判别-Rectangular Crack monitoring VTK realized Canny algorithm to shape the contours of discriminant
facecheck
- 采用SSE优化，基于C++写的人脸识别程序,可应用于视频监控系统中。-Using SSE optimization, based on the C++ Write the face recognition process can be applied to video surveillance systems.