搜索资源列表
掌纹识别
- 结合2dPCA和FLD进行掌纹识别的matlab程序
2dpca的matlab源代码
- 2dpca的matlab源代码 3 有关于人脸识别或车辆检测-2dpca matlab source code 3 on face recognition or vehicle inspection
经典的人脸识别算法
- 经典的人脸识别算法：2Dpca的实现，matlab实现环境。,Classical face recognition algorithms: 2Dpca the realization
2DDPCA
- 人脸识别用双向2DPCA方法写得人脸识别代码，基于ORL的，自己写的，可运行，网上没有，分享给大家学习。-Face recognition using two-way code is written 2DPCA method, based on ORL, and his writing, can run, on-line did not, share with them to learn.
rljc2dpca
- 人脸检测中所需要的2dpca程序 在人脸识别中需要的一个环节-Face Detection in the required procedures in the face recognition 2dpca need a link
PCA2D
- 人脸识别中2DPCA算法的matlab程序，使用最近邻分类器进行识别。-Face Recognition 2DPCA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
faceRecognition
- 基于2D-DCT和模块2DPCA的人脸识别系统的实现（matlab）-Based on the 2D-DCT and modules 2DPCA Face Recognition System (matlab)
pca2D
- 2DPCA用于人脸、步态等图像识别，可先按照行列比例将不规整图像归一化处理，然后进行训练，并且识别，全部中文注释和提示，便于学习和参考。-2DPCA human face, gait, such as image recognition, in accordance with the ranks of the ratio can not structured to deal with the normalized image, and then training, and recognition
Towdpca
- 2DPCA的MATLAB程序，毕设用的，不像国外有些编的那么大，便于理解，非常实用，保证正确，适合初学者。-2DPCA the MATLAB program, completed the set up used, unlike some foreign series such a big, easy to understand, very practical, and ensure the correct, suitable for beginners.
2DPCA
- 基于二维主成分分析的人脸识别,本程序在ORL人脸库上进行了测试-Two-dimensional Principal Component Analysis for Face Recogntion.
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.
02dpca-matlab
- 2DPCA face recognition 基于2DPCA的人脸识别-2DPCA face recognition （matlab）
2DPCA2DLDA
- matlab对人脸识别的2DPCA、2DLDA算法进行编程仿真-matlab for face recognition 2DPCA, 2DLDA simulation programming algorithm
PCA2D
- Matlab 平台对二维图像PCA处理，可作为图像数据的预处理。(PCA processing of two dimensional image on Matlab platform)
PCA
- Matlab 平台使用2DPCA对二维图像数据进行降低图片的维度。提高图像处理速度。(The Matlab platform uses 2DPCA to reduce the dimension of the image data for two-dimensional image data. Improve the speed of image processing.)