搜索资源列表
facedetection
- 人脸进行识别的软件，可以进行小范围的识别方法设计-face recogniztion
SRC 实现了使用基于稀疏表示的人脸识别算法
- 该源码实现了使用基于稀疏表示的人脸识别算法。使用GPSR作为l1模最小化方法。-This pack of code implement a imges-based face recognition using sparse representation classification. In the algorithm, i employ GPSR as tool to complete the optimization procedure of l1-minimization.
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.
MoveDetection
- 用VC编写的运动检测程序，实现运动物体的跟踪与检测，包括了数字图像处理的一些操作方法-VC prepared with motion detection process, the achievement of moving object tracking and detection, including a number of digital image processing method of operation
hand
- matlab的手写体识别代码 主要有贝叶斯、bp神经网络等方法-The handwriting recognition matlab code are Bayesian, bp neural network method
HOGadaboost
- 用matla实现的行人检测，使用hog+adaboost的方法，内附程序运行时所需的大量训练及检测图片-Pedestrian Detection with matla achieved, the use of hog+ adaboost the method, enclosing the program is running a lot of training and testing images...
Hough-Forest
- 使用hough森林方法检测识别图片中的物体，比随机森林速度更快。-using hough forest method to detect and recognize the objective in image rather than using the random forest method
FaceTracking
- 使用OPENCV库实现的人脸跟踪，需要安装OPENCV。输入源可以是视频，也可以是摄像头。可选择Harr特征和CamShift两种方法对人脸进行跟踪。还提供了视频保存的功能。-Library implemented using OPENCV Face Tracking, need to install OPENCV. Input source can be a video camera can also be. Harr features and CamShift choose two meth
A-Method-Using-Haar-like-and-Skin
- 一种基于肤色和圆角度的手部检测方法，有较高的识别率。-Point of view based on skin color and hand circle detection method has higher recognition rate.
chepsb
- 用MATLAB实现车牌识别，包括定位、分割和字符识别，识别方法是神经网络-License Plate Recognition Using MATLAB implementation, including positioning, segmentation and character recognition, neural network identification method is
adxcvbv
- 基于最大熵的汉语人名识别方法研究 针对人名的特点，建立了特征模板，并在此基础上提取了特征集，利用特征选择算法提取了有效特征，并建立了一个基于最大熵的人名识别模型。 -Chinese name based on the maximum entropy method for identifying the characteristics of names, the establishment of a feature template, and on this basis set of fe
GrayToWhiteBlack
- C语言实现的OTSU方法，计算图像二值化的自适应阈值-C language implementation of the OTSU method in calculating the adaptive image binarization threshold
ypshibie
- 提出了一种数字乐谱图像识别与匹配方法，采用光学乐谱识别(OMR)技术识别数字乐谱图像建立对应的MIDI 文件，利用一一对 应算法进行匹配，根据相似度来判断同一音乐作品的不同数字版本的乐谱图像，并在理论上就此算法的有效性进行了论证。同时，仿真实 验结果表明这一方法能有效地实现对不同数字版本的同一音乐作品的乐谱图像的识别、归类与校正。-A digital music identification and matching images, the use of optical music re
manmotiondetect
- 人类动作识别，使用的是c++和opencv开发，有多种识别方法，建议收藏-Human movement recognition, using a c++ and opencv development, there are a variety of identification methods, the proposed collection of
ImageProcessing
- 图像特征提取是图像识别的关键步骤,图像特征提取的效果如何直接决定着图像识别的效果. 如何从原始图像中提取具有较强表示能力的图像特征是智能图像处理的一个研究热点. 本文旨在介绍各种 图像特征提取方法的基本思想、特点和研究发展现状, -Image feature extraction is a key step in image recognition, image feature extraction directly determines how the effect of image
Hand-detection-and-recognition
- 基于openCV的手势检测与识别代码，其中使用了基于颜色的分割算法，如果结合运动检测和减背景方法，算法将会更加稳健。-Hand gesture detection and recognition using openCV and the color based segmentation method. If, combinned with motion detection and background substraction, it supposes to be robuster.
palm-matlab
- 掌纹识别的matlab程序，包括最大内切圆求法，KL变换，小波变换，欧式距离识别方法-Palmprint recognition matlab program, including the largest inscribed circle Method, KL transform, wavelet transform, Euclidean distance to identify methods
yangben
- 这是一些adaboost的样本选取方法相关的论文，和人脸检测有关-This is the method of selecting a sample of some of adaboost related papers, and face detection on
tesseract-2.01
- ocr源码 文字、英文、数字智能识别，已经配置好的tesseract-2.01，采用vc6.0编译，使用方法见里面说明，不压缩的tif和单色bmp识别-ocr source text, in English, digital intelligent identification, has been configured tesseract-2.01, with vc6.0 compile, use, see the note inside, non-compressed tif and mono
train
- 用于自动化训练Tessact OCR的程序，用powershell编写而成，可以在windows下运行，（请先安装powershell运行环境）。 如果没有此程序，训练过程将是极端艰苦的。（可参见官方手工训练教程：）http://code.google.com/p/tesseract-ocr/wiki/TrainingTesseract3 使用方法： 1. 将train.ps1文件放在Tesseract的bin目录下； 2. 进入Powershell环境，运行命令：PS