搜索资源列表
read_image.rar
- CohnKanada人脸表情库图像读取,经过预处理了的,含有类标,可用于无监督人脸表情识别,images inputing of CohnKanada database,including preprocessing and labels of 7 expressions. it is suitable for unsupervised facial expression recognition
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
fingerprintrecognition
- 指纹识别的一个应用实例.利用database来存储指纹的特征值与输入的指纹特征值比较找出近似的.-The basic idea is to combine both global and local information of fingerprint. Given a threshold to detect the given fingerprint with the fingerprint in database
FaceRec
- 基于matlab2008的人脸识别系统,使用了PCA +Adaboost与PCA+SVM分别实现了人脸识别,使用了orl人脸库,给一个人的图片就可以识别此人身份,识别率高达84 -Matlab2008 face recognition system based on use of the PCA + Adaboost achieved with the PCA+ SVM face recognition, respectively, using the orl face database
Signature_Verification
- 基于matlab编写的签名识别程序,导入签名图片进行识别。-A signature verification program based on matlab. Code has been tested using Off line signature database
ica_for_image
- 本代码用于人脸识别,可以在ORL、Yale、AR等人脸库上测试使用。-The code for face recognition, can ORL, Yale, AR face database, such as the use of the test.
HumanFaceLDA(Matlab)
- 线性判别方法,人脸数据库上的LDA程序,基于Matlab,供学习使用-Linear discriminant method, human face database of LDA procedures, based on Matlab, for learning to use
eyePictureLDA(Matlab)
- 线性判别方法,眼睛图像数据库上的LDA程序,基于Matlab,供学习参考-Linear Discriminant method, eye image database on the LDA procedure, based on Matlab, for study and reference
MyPCA
- PCA方法实现人脸识别,输出数据库中最象的前两人-PCA method for face recognition, the output database of the most as the first two
KFDA
- 此实验使用核Fisher鉴别分析(KFDA)方法在ORL人脸数据库上进行人脸识别试验。ORL标准人脸库共包含40人,每人10幅共400幅BMP图像。-This experiment the use of nuclear Fisher discriminant analysis (KFDA) method on ORL face database for face recognition test. Standard ORL face database contains a total of 40
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- uci机器学习数据库关于字符识别的源数据。是字符识别的研究的关键数据来源。包括手写字体和印刷体两类,手写的数字和印刷体的字母。-uci machine learning database on the source character recognition data. Character recognition research is the key source of data. Including two types of handwriting fonts, and print, han
ImprovedPCAFaceRecognitionAlgorithm
- 摘要:主成分分析(PCA)的人脸识别算法,以减少的特征向量是涉及到对抽象的特点,改进了主成分分析(一)iUumination算法的变化影响酶原sed.The方法是基于上减低与正常化其相应的标准差的特征向量元素相关联的大特征值的特征向量的影响力的想法。耶鲁大学和耶鲁大学面临的数据库面对数据库B是用来验证-Abstract:In principal component analysis(PCA)algorithms for face recognition,to reduce the influen
FERET_PCA
- 在matlab中实现主成分分析方法,并使用FERET库的灰度图像进行测试-This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database.
01_AES2410
- 指纹库,采集仪为AES2410,提供约500幅图像,生成库无背景和光学背景的各提供约5,000幅。指纹识别的有用-Fingerprint database, collection instrument for the AES2410, providing about 500 images, generated libraries and optical background, no background of about 5,000 pieces of each
ModualPCA
- 模块pca, 在人脸识别中进行特征提取,速度效率比PCA要高,基于ORL人脸库上进行试验。-In face recognition module pca feature extraction by speed, efficiency, than pca based on ORL face database on the test.
FACE-RECOGNITION
- 此文的目的有三个:第一,当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次,注册稀疏Winnows网络分割,提出了加快原分类。最后,特点和分类相结合对于正面人脸检测任务。检测结果列 为MIT + CMU系统和BioID数据库。关于这人脸检测器,接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabce
pca-svm
- 基于pca的人脸识别程序,人脸库需要自己下载,供参考-Pca-based face recognition program needs to download face database, for reference
2DICA1
- 基于图像人脸识别2DICA,可运行,人脸数据库是ORL,本人写的。-Image-based face recognition 2DICA, can run, face database is the ORL, I write.
gabor-pca
- 本程序是先用gabor小波变换对人脸图像处理,然后在用pca进行降维,最后用svm分类器进行多分类分类识别,包扩完整的orl人脸库,需注意的是,svm工具箱是用的libsvm工具箱,运行前先配置好libsvm。版本号:libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce
2DPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用2DPCA方法完成人脸检测实验。-Standards in the ORL face database or Yale to complete the pattern recognition task. Complete with face detection method 2DPCA experiment.