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pattrnRecognization
- 文件包中是关于模式识别中神经网络法，模板匹配，Fisher判别法和细化算法（用于轮廓检测）以及数字识别的vc程序-packages on the pattern recognition neural network, template matching, Fisher Discriminant and thinning algorithm (used for contour detection), and digital identification procedures vc
classifier_linear
- 模式识别中线性判别分类器的C++源码，非常容易集成和使用！-pattern recognition linear discriminant classifier C source code, and is easy to integrate and use!
face_detect_usingBDF_method
- 这是我做本科毕业设计时用的dameon程序,它采用肤色和贝叶斯判别方法进行人脸检测,具有高的检测率和低的误码率.-This is what I do when we graduated from the design dameon procedures, It uses color and Bayesian methods discriminant face detection with high detection rate and a low error rate.
zifushibie
- 包括: 手写数字识别之Fisher线性判别 手写数字识别之模板匹配法 数字识别之神经网络法 细化算法-include : Handwritten identification Fisher Linear Discriminant handwritten digital identification template matching identification number of neural network method in Algorithm
CalcLDA
- PCA---主成分分析 LDA---线性区别分析此类实现结合两者的有缺点实现图像模式识别,其中需要有矩阵类-PCA principal component analysis --- --- LDA linear discriminant analysis combining the two to achieve such a flawed it Image is pattern recognition, which requires matrices
worddistinguish
- 脱机字符识别算法，包括手写数字识别之Fisher线性判别，手写数字识别之模板匹配法，数字识别之神经网络法，细化算法 -offline character recognition algorithms, including handwritten digital identification Fisher Linear Discriminant. Handwritten identification template matching, digital identification neura
Wavelet_face_recognition
- 一篇小波包人脸识别的IE文章 Local Discriminant Wavelet Packet Coordinates for Face Recognition .pdf
LDA
- Linear Discriminant Analysis算法，此压缩包中已经带有大量train和test的相关图片，用于做人脸识别。LDA算法也可以用于其他领域如语音信号处理，此代码仅供研究，请勿用于商业！
18
- 指纹图像的分类Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis
Face_Recognition.zip
- Face Recognition, Face Detection, Lausanne Protocol, 3D Face Reconstruction, Principal Component Analysis, Fisher Linear Discriminant Analysis, Locality Preserving Projections, Kernel Fisher Discriminant Analysis,Face Recognition, Face Detection, L
algorithm-of-face-recognition
- 主要介绍了各种关于人脸识别的核心算法，如LGBP，AdaBoost，SV的Kernel判别及基于特定人脸子空间-Introduces a variety of core face recognition algorithms, such as LGBP, AdaBoost, SV and the Kernel discriminant subspace based on a specific face
CrackDector
- 长条形裂缝监测 用VTK实现的Canny算法 得到的轮廓进行形状判别-Rectangular Crack monitoring VTK realized Canny algorithm to shape the contours of discriminant
Study.on.License.Plate.Segmentation.Based.on.Color
- 智能运输系统中车牌识别技术得到了广泛应用 , 车牌分割是车牌识别的重要部分。基于彩色图像车牌分割与采用灰度图像车牌分割相比 , 可以有效消除阴影影响 , 同时车牌颜色也是车牌识别的一个参数。颜色分类处理使用特征函数 , 可以减少颜色坐标转换运算 , 提高颜色分类速度。文中详细讨论中国车牌特征 , 给出车牌分割详细步骤。车牌 区域判别采用信息融合技术。车牌倾斜矫正结合车牌倾斜特点 , 提出快速算法。-Intelligent Transport System in the license pla
patternClass
- 產生k個d維的常態分布樣本，產生某個事前機率為P(wi)的常態分布的discriminant function，計算任兩點間的Euclidean distance及Mahalanobis distance -Generated k-d-dimensional normal distribution of samples to generate a prior probability P (wi) of the normal distribution of the discriminan
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
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
linear
- 手写体识别中，对于阿拉伯数字的识别。常用的模式分类方法都可以应用。这个小程序使用的方法是线性判别分析-Handwriting recognition, for identification of Arabic numerals. Commonly used pattern classification methods can be applied. This small program uses the method is linear discriminant analysis
Fisher
- 手写数字识别之Fisher线性判别，正在做毕业设计的同学可以参考一下-Handwritten numeral recognition of the Fisher Linear Discriminant, is doing graduate students designed for reference
Discriminant
- 简单的判别函数进行模式分类，分两类和三类问题-Simple discriminant function for pattern classification, be classified into two categories and three categories of issues