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bp神经网络的车辆分类
- c语言编写的基于BP神经网络的对图像车辆分类，其中图像特征提取是用图像不变矩，给出了图像不变矩的样本数据和验证数据。-based BP neural network image of the vehicle classification, Feature Extraction which is the same image moments, the image is unchanged Moments sample data and test data.
therecignitionofnumberbypipei
- 本程序是一个利用模板匹配法进行手写数字识别的程序,待识别的样本是0~9几个数字,内容包括位图的读写,细化方法,模板的建立等-this procedure is the use of a template matching method handwritten numeral recognition procedures question identify the sample was 0 ~ 9 figures, including bitmap literacy, refining metho
SimpleChinaRecognise
- 汉字识别系统。基于样本训练的汉字识别系统，何以识别汉字/字符数字等。很适合学习基本原理的研究者使用。-Chinese character recognition system. Based on the training sample Chinese character recognition system, why is recognition of Chinese characters / character statistics. Very suitable for studying th
fg-Sample-sourcecode-for-FVC2004-c
- 内容概要: Sample source code - contains C-language skeletons for FVC2004-compliant ENROLL and MATCH programs-outline : Sample source code-contains C-language skele tons for Garbor-compliant ENROLL and MATCH pr ograms
WordRecognizeVc++Res
- 第一次使用识别程序时，可以直接运行Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。当然也可以自行用训练样本训练网络，不过要注意训练样本的选择，否则可能识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下训练样本数目尽量多。-first use of the identification procedures, they can run the Release directory of executable files, Then the c
WordIdentity
- 汉字识别系统。基于样本训练的汉字识别系统，何以识别汉字/字符数字等。很适合学习基本原理的研究者使用。 -Chinese character recognition system. Based on the training sample Chinese character recognition system, why is recognition of Chinese characters / character statistics. Very suitable for studying t
bayescode1
- 模式识别中，对于服从多元正态分布的样本的一个分类器的实现。-pattern recognition, obedience multivariate normal distribution of a sample of the classifier is achieved.
jianliyangben
- 一个基于BP神经网络的matlab程序，可以实现对几种字体0-9的数字识别，这个文件是建立样本矢量的压缩包。-a neural network based on BP's Matlab procedures, Some can be achieved on the font 0 -9 identification number, the document is to establish the sample vector compressed.
DirectXshili
- 关于DirectX的图象灰度处理示例 程序的编辑， -DirectX on the gray image processing sample program editor,
edge_zxf
- 这是一个采用小波和最优算子提取图像边缘(轮廓)的动态库，其效果 非常好，曾用于很多图像识别软件中。附有示例程序。 用于商业目的可能需要注册。-This is a wavelet and optimal operator Image Edge Extraction (contour) of the dynamic, the effect is very good. has been used for many image recognition software. With sample
w_ipp-sample-computer-vision_b_5[1].0.006
- intel的ipp性能库的示例代码，在多核平台下可以充分利用多核的性能实现人脸识别
gabor_11_15_01
- Gabor filter implementation and usage sample
Eigenface_Face_Recognition_System
- Eigenface Face Recognition System All functions are easy to use, as they are heavy commented. Furthermore, a sample scr ipt is included to show their usage.
U16BEtoUTF8
- sample : unicode16 transfer to UTF8
K-means算法源码
- kmeans This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers
ISODATA
- ISODATA算法是一种基于统计模式识别的，非常经典的非监督学习动态聚类算法，有较强的实用性。ISODATA算法不仅可以通过调整样本所属类别完成样本的聚类分析，而且可以自动地进行类别的“合并”和“分裂”，从而得到类数比较合理的聚类结果。-ISODATA algorithm is based on statistical pattern recognition, unsupervised learning is the classic dynamic clustering algorithm
USPS.rar
- 用于手写体数字识别的USPS样本数据库和将MAT格式的样本数据库转换成二值化图像并以行程编码存储,For handwritten numeral recognition of the USPS database and a sample format of samples MAT database into binary image and the Run-Length Coding storage
twainapp.source.2.0.8
- .NET TWAIN image scanner-Abstract In Windows imaging applications, the most used API for scanning is TWAIN www.twain.org. Unfortunately, the new .NET Framework has no built-in support for TWAIN. So we have to work with the interop methods of .NET t
Classification
- 模式分类。包括:训练样本设计、模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类法-Pattern classification. Include: training sample design, template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classificat
[7---2002]-Solving-the-small-sample-size-problem-
- The small sample size problem is often encountered in pattern recognition. It results in the singularity of the within-class scatter matrix S,? in Linear Discriminant Analysis (LDA). Dijjrent methods have been proposed la solve this problem in face