搜索资源列表
PayrollManagementSystem0317
- Complete Company Payroll System with MS access Database, Data Dynamics Reports. I created this payroll based on my previous company computation and policies.
Database_I515571282002
- Database Image Viewer
Image_Data1863613112005
- Image Database 2.5.0 (w/ thumbnails)
dyntex-database
- 动态纹理数据库，用于研究动态纹理的分类识别-dynamic texture ，which is used to research the algorithms of classification and recognition
615070
- 三维零件转换为二进制保存到数据库,在工程中已经千锤百炼了,(Three dimensional parts converted to binary saved to the database, have dental laboratories in the engineering,)
wavelet
- 用小波分析对图像预处理，适用于ORL数据库，准确率有90左右。(Wavelet analysis of image preprocessing, applicable to ORL database, accuracy rate of about 90.)
ORL
- orl人脸数据库，40人，每人10张，bmp格式，完整版(ORL face database, 40 people, 10 per person, BMP format, the full version)
digit0and9
- 对给出的图形数据库里面的数字（0-9）进行识别，测试并计算错误率(Identify, test and calculate the error rate for the number (0-9) inside the given graphics database)
vecior-pixel
- 用JJB QC和TC高级编程环境,可编写图形,数据库等等,(Use JJB senior QC and TC programming environment, can write graphics, database, etc.)
分块和数据库
- 一般图像预处理过程中会对图像进行局部处理，就需要对图像进行有重叠的分块，内含CUFS数据库(In the process of general image preprocessing, the image is processed locally, so it needs to overlap the image and contains CUFS database)
yale人脸数据库
- 用于人脸识别算法，标准人脸数据库，15个不同的人，每个人有11个不同的表情(For face recognition algorithm, standard face database)
FaceRecognition
- 本算法将进行人脸识别，首先进行人脸定位检测，然后根据数据库里给的标签进行人脸识别，将人脸的信息显示在人脸旁边。本算法能取得较好的效果。(The algorithm will perform face recognition, first face detection, and then according to the database to the label for face recognition, the face of the information displayed next to
hog_svm
- 这文件夹包含了，hog特征提取，多类SVM分类器，数据库，图像识别(This folder contains the hog feature extraction, multi class SVM classifier, database, image recognition)
FaceRecog_bin
- 人脸识别，可自建库，并将语句转换成exe，可在无matlab的电脑上直接运行(Face recognition, can be built from the database, and the statement converted to exe, can be directly shipped without MATLAB computer)
MstarSARDatebase
- 官方下载的MSTAR数据集。该实验数据采用美国国防高等研究计划署(DARPA)支持的MSTAR计划所公布的实测SAR地面静止目标数据，无论是在国内还是国际上，针对SAR图像目标识别的研究基本上是基于该数据集而展开的。采集该数据集的传感器为高分辨率的聚束式合成孔径雷达，该雷达的分辨率为0.3m×0.3m。工作在X波段，所用的极化方式为HH极化方式。(MSTAR data set downloaded from SDMS. The experimental data comes from MSTAR
dingwei
- 实现了人脸定位功能，并在yaleB数据库上得到了测试(To achieve the face positioning function, and in the yaleB database has been tested)
66128906NDK_TCP_UDP
- 接口代码，主要用于Delphi与数据库的接口代码(Interface code, mainly used for Delphi and database interface code)
CASIA-PalmprintV1
- 数据库基于vsc++做的一个神经网络学习。希望对大家有用。(Database based on vsc++ to do a neural network learning. Hope to be useful to everyone.)
faceRecgnition
- 该程序可以追踪人脸并检测人脸的面部特征，从而达到识别人脸的功能，利用了OPENCV的图形处理功能，自动追踪人脸，检测与已载入的数据库进行匹配，进行识别，最终会给出检测结果。(The program can track the face and detect the facial features of the face, so as to achieve the function of recognizing the face, the use of OPENCV graphics proces
PCA_Face
- 基于pca的一种人脸识别，人脸识别用的库是英国ORL的人脸库，精确率可以达到80%(Based on pca a face recognition, face recognition library is the British ORL face database, the accuracy rate can reach 80%)