qzxing+opencv ,二维码/条形码解码

质量不错的OCR源码。这是国外很有名的开源OCR，研究OCR的同好一定要支持啊。-OCR source good quality. This is a well-known open source abroad OCR, the OCR research enthusiasts must support ah.

使用D3D从OBJ读取模型，代码由VC写成 读取后通过MESH建模-Use D3D read from the OBJ model, code written by the VC after reading through the MESH Modeling

atically delete the directory of debug and release, so please do not put

程序说明: //该函数用来对图像进行阈值变换。对于灰度值小于阈值的象素直接设置 灰度值为0；灰度值大于阈值的象素直接设置为255。-procedures :// This function used to image transform threshold. For gray value less than the threshold value of the pixel intensity value directly set to 0; Gray value greater than the threshold value of the pixel is set to direct 255.

这是一个基于神经网络法的字符识别系统，神经网络法的使用使本系统识别率很高。-This is a neural network based on the character recognition system, neural network to enable the use of the system to identify high rate.

图象模板匹配算法源代码-Image template matching algorithm source code

计算机图形学的实力程序-the strength of computer graphics procedures

目前该手写体识别系统主要分为 预处理模块： 主要包括训练数据和识别数据的读取，归一化，二值化 特征提取模块：主要包括笔划方向特征和网格密度特征，还可以根据对识别率的要求继续增加其他特征 识别（分类器）模块：主要包括SVM方法和BP神经网络的方法，其中SVM方法的识别率较高，SVM＋网格密度特征， 在小字符集情况下，达到了识别率97％以上 采用OO思想编写，适合做二次开发-currently the handwriting recognition system consists of pretreatment modules : including training data and identification data read, in one, two values of feature extraction module : the main characteristics of the direction including strokes and grid density characteristics, but also based on the identification of the requirements to continue to increase other identification ( Categories) modules : include SVM methods and BP networks, which SVM method for the identification of high SVM+ mesh density characteristics, in a small set of characters to achieve a recognition rate of over 97% using OO ideological preparation, suitable for secondary development

switch 功能源码,图像处理，图像存储！-source switch functions, image processing, image storage!