资源列表
English-character-recognition
- 本案例为读取某印刷版本的英文文章图片，通过进行行分割、列分割来进行单词定位，然后与标准英文字符进行对比来实现识别-This case is reading a printed version of the English articles image by performing a dividing line, column split to locate a word, and then compare with the standard English characters to achie
3DFaceRecognitionBasedon3DLBPandKernelDiscriminant
- 二维照片的人脸识别对光照、姿态和化妆等因素很敏感，故提出了一种将三维局部二值模式(3DLBP)和核享，1剐分析(KDA)相结合的三维人脸识剐方法．采用3DLBP描述人脸深度图像的特征，高斯核函数KDA 作为分类器，使用Chi平方统计改进高斯核函数、采用FRGC v2．0中2003春季采集的三维人脸库进行实验．实验结果表明，该 方法在每人2个训练样本时，识别率为91．8％，而PCA和3DLBP的识别率分别为60．4％和78．3％；当每人的训练样本数增至6个时，识别率为98．4％，而PCA和3D
4352283
- Numerical analysis of the most commonly used 40 kinds of algorithm, using matlab c + +,-Numerical analysis of the most commonly used 40 kinds of algorithm, using matlab c++,
zhiwen
- 这个程序就是从联合开发网下载的，但是有一个错误导致识别率不足60%。 原始版本在图像旋转后提取的指纹中心点算法有误，每次提取的中心点都在图像边缘，造成后面提取的FingerCode也会出错。 这个修改使旋转前的中心点与旋转后的中心点保持一致，同时减少了运算复杂度(This program is downloaded from www.pudn.com, but one error led to recognition rate of less than 60%. The original
hgetextbox
- 添加支持汉字的源码，经测试比较完善，内有相关示例-Added support for Chinese characters in source code, tested more perfect, there are relevant examples
shibie
- 数字识别，包括0至9还有字母M，使用BP神经网络训练，训练精度到0.001-Digital identification
Idenor
- 一种货币识别传感器有效性与精度分析方法Identification of a currency and accuracy analysis of the effectiveness of the sensor-Identification of a currency and accuracy analysis of the effectiveness of the sensor
Intelligent-vehicle--system
- 本文详细的介绍了一种在智能车辆识别系统中消除图像干扰的方法。-This paper introduces a method to eliminate the image interference in a kind of intelligent vehicle recognition system.
tes1111t
- 图像处理，基于matlab执行和去除共享软件日期限制的程序-image processing, based on the implementation of Matlab, and the removal of restrictions on sharing software date procedures
11
- 车牌识别源码 自己做的大家 看看哦看看哦看看哦看看哦-chepai
123456
- 基于相对距离和角度的手指静脉识别方法,学习静脉识别的有用论文-Based on the relative distance and angle of the finger vein identification method
facedetection
- 此程序用Visual c++开发平台，用于实现对人脸部的识别与检测-This procedure with Visual c++ development platform for the realization of human face recognition and detection