资源列表
KernelPrincipalComponentAnalysis
- 用于图像识别的核主分量识别子程序，不包括分类器程序-For image recognition to identify the nuclear principal component subprogram does not include classification program
carimage_segmentation
- License plate recognition.
Unit1
- 简单验证码识别 代码内有获取验证码的地址
HMM-VC
- 实现孤立词识别的系统，VC代码，性能很好-Achieve isolated word recognition system, VC code, good performance
recognize
- 索书号文字图像分割、粘连字符切分、文字识别、彩色车牌分割-Call Number text image segmentation, adhesion character segmentation, character recognition, color plate segmentation
K_means_clustering
- 聚类算法，用于实现多类数据的聚类分析，K-means是其中的一种-Cluster analysis, K-means clustering algorithm, used to implement a variety of data
LPQ_TOP
- LPQ——TOP特征提取源码及其应用，能够很好提取动态的表情特征，可以用在表情识别以及姿态检测上。-LPQ- TOP feature extraction and its application source code, can be a good dynamic expression feature extraction, can be used on face recognition and gesture detection.
yanzhengmashibie
- 一个用于网站验证码识别自动输入的程序的源代码，保证可用-A site verification code recognition for automatic input of the program s source code to ensure that the available
grabtext
- 取得运行另一个程序并抓取文本-made running another program and text crawls
Mbp__figure_ra
- 是matlab源码，运用bp网络实现0～9数字识别系统，友友好的系统界面，包含训练样本与含噪声的数字图片。 可直接使用。 -Matlab source code, bp network 0 to 9 digit recognition system, Friends of the friendly system interface, including the training samples and digital images with noise. Can be used direct
kda-1.0
- 基于KDA的人脸识别首先利用核方法将人脸图像数据集非线性映射到一个高维特征空间中，然后在高维特征空间中利用LDA进行线性特征提取-Face recognition based on first use of nuclear KDA method will face image data set nonlinear mapping to a high dimensional feature space, and then use LDA in high-dimensional feature sp
itml-1.1.tar
- Information Theoretic Metric Learning algorithm