资源列表
Abaqus2Matlab_Toolbox1.01
- Abaqus2Matlab是提取有限元分析程序分析结果。这个工具箱旨在提供一个有限元分析和MATLAB之间的联系,这将使有限元分析用户在MATLAB有限元分析结果进行后处理。它可以用来从一个有限元分析检索结果分析,这可以很容易地从有限元分析转移到MATLAB进行进一步处理。-Abaqus2Matlab is a program for the extraction of ABAQUS analysis results to MATLAB. It is a toolbox which aims t
java-Web-Simple-Chinese-codes
- javaWeb简单的中文验证码,通过图像处理、模板对比识别等步骤，实现了该类简单验证码图片的识别功能。同时对程序实现了可视化界面.-java Web Simple Chinese codes, through image processing, template contrast recognition step, to achieve a kind of simple CAPTCHA recognition. At the same time the program to achieve th
MATLAB
- 光学字符识别，噪声去除，二值化，边缘检测，版面分析，字符分割-Optical character recognition, layout analysis, character segmentation
online-multiclass-lpboost-master
- online-multiclass-lpboost-master能够很好地实现在线分类识别，对于文字和图像识别等由很好地效果。-online-multiclass-lpboost-master can achieve a good online classified recognition for text and image recognition and other effects the well.
online-random-forests-master
- 在线随机森林算法的源码，用于分类模式识别有很好的效果，适用于linux系统下。-Online Random Forest algorithm source code, for classification pattern recognition have a good effect for linux system.
Face-Recognition
- 本程序设计了一个基于PCA方法的人脸识别系统。该系统可以对各类文件格式的人脸文件进行分析，可以对一定长度的人脸训练集进行特征值提取，能够显示特征脸、平均脸，并且完成比对误差及人脸识别的功能。-This design program a face recognition system based on PCA method.The system can analyze the face of all kinds of file format file, you can face the train
StaticFPSys
- 这是一个用C++编写的简单的指纹识别系统，对指纹图像进行预处理，特征提取，比对。可以判断两个指纹是否属于同一指纹，并显示结果。-It is written in C++ a simple fingerprint identification system, fingerprint image preprocessing, feature extraction, comparison. It can determine whether two fingerprints belong to the
gocr-0.50_vs2005
- 印刷体字符识别，VC++，效果较好，OCR识别系统-OCR text recognition system
lt
- LT码 喷泉码的程序实现 包含编解码过程-LT Code
Bin-Packing-Problem-using-GA--PSO--FA--and-IWO.zi
- Bin Packing Problem using GA, PSO, FA, and IWO
Optimal-Robot-Path-Planning-using-PSO-in-MATLAB.z
- Implementation of Optimal Path Planning of mobile robot using Particle Swarm Optimization (PSO) in MATLAB
K
- K-MEANS聚类分析，用于实现目标识别效果~识别率较高~-K-MEAN Clustering analysis, used to achieve the target recognition effect ~ recognition rate is higher