搜索资源列表
手势识别系统
- 这是一个手势识别系统。程序运行时，先根据弹出对话框的提示值修改主程序开始处的摄像头图像高和宽。重新编译后运行程序即可。如果如果弹出对话框的提示值与程序中默认的设置值相同，则不用修改。-This is a gesture recognition system. Running, first pop-up dialog box under the value suggested amending the main program began camera images high and wide.
基于Java的BP网络数字识别法
- 详细给出了一个完整的人脸检测算法。对于实际应用有一定的参考价值-detail given a complete face detection algorithm. For practical application of a certain reference value
第09章 人脸的检测与定位
- 人脸的检测与定位(在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究。)-Face Detection and Location (pretreatment, using a special facial features enhanced facial skin and the contr
Detecting_faces
- 这是一篇经典的图像边缘提取的文献综述，搞图像处理的应该知道它的价值。-This is a classic Image Edge Extraction of Literature Review and engage in image processing should know its value.
fingerprintsourcecode
- 指纹识别代码，经多次验证可靠，VC环境下开发，是价值很高的代码-fingerprint identification code, several reliable verification, VC environment development is the high-value code
Correlation
- 上传的是Convolve算法，在图象处理系统中经常用到，也许对你有参考价值-upload the Convolve algorithm, the image processing system frequently used, perhaps for your reference value
cell1234
- 一个图像处理程序，包括图像的阈值计算，去噪处理，图像面积运算等-an image-processing procedures, including images of the threshold value, Denoising processing, image size, etc. Operational
OpenCVFindContoursByAdaptiveThreshold
- 在VC6下基于OpenCV的轮廓检测程序，其中图像的二值化操作基于Canny和自适应阈值。通过trackbar来实现不同情况下的轮廓检测。-in VC6 OpenCV Based on the outline of testing procedures, these two images based on the value of operating Canny and adaptive threshold. Through the trackbar to achieve under diffe
OpenCVL
- 这个一个opencv代码。通过对库函数调用，实现图片的边缘检测以及轮廓识别。对于入门opencv很有参考价值。-this one OpenCV code. Through library function call, on the brink of achieving Photo contour detection and identification. For entry OpenCV of great reference value.
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
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.
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
weighted_pca
- 一个WPCA算法的源程序，用于人脸识别方面。很有参考价值。-a PCA algorithm source code for face recognition area. Great reference value.
rob_pca
- 一个PCA算法的源程序，用于人脸识别方面的，很有参考价值。-a PCA algorithm source for the face recognition, great reference value.
car1234
- 车牌识别系统JAVA源代码，包括灰度处理、均衡化、边缘提取、二值化等功能-number plate recognition system in Java source code, including Gray, balance, edge detection, the value of the two functions
numberplate_C++Builder
- 车牌识别C++Builder代码，首先要把车牌图像灰度化，接着对图像进行中值滤波进行初步降噪，下一步进行Sobel纵向边缘检测，即增强车牌纵向边缘，边缘检测后进行二值化处理，此时车牌区域特征得到进一步加强，但同时又加强了背景中的部分噪声，所以再对其腐蚀，然后定位及截取车牌，最后对车牌进行二值化。 -LPR C Builder code, first and foremost, we should plates gray, Then the image median filtering for
sourcecode_for_locating_and_identification
- 这是一个关于车牌定位与识别系统的原代码实例,用vc开发,非常具有实用价值,望大家参考.-This is a position on the number plate recognition system with the source code examples using vc development, very practical value, look for reference.
CarCard_Recognize_System
- Visual C++.net 环境下开发的车牌识别系统，可以从包含车牌的图像中提取出车牌,并且将提取出的车牌灰度数值二值化-Visual C. Net development environment that the license plate recognition system includes plates from the extracted image registration, and will extract the license plate of gray numerical
Edgefinder
- 网上得到边缘查找源代码，vc6.0编写，输入为bmp格式图像，对于图像处理，机器视觉领域的人有参考价值。-be marginalized online search for the source code, vc6.0 prepared for the importation of bmp format images, For image processing, machine vision field of reference value.
Mutilface
- 这是一个多重脸识别的程序，代码采用k_L变换和奇异值分解，利用协方差矩阵获得人脸图像的特征脸。-This is a multi-face recognition program, the code used k_L transform and singular value decomposition, the covariance matrix can be obtained by using the face image features the face.