资源列表
tocr20
- 图片中字符识别，还不错，网上下的，边缘检测，字母，数字，符号识别-The picture character recognition, but also good under line, edge detection, letters, numbers, symbols identify the
lunwenziliao
- 一些关于车牌识别的论文资料，共有7篇硕士论文-Some information on the paper license plate recognition, a total of seven master' s thesis
BoostingLbp
- 基于LBP的人脸检测，其中PCA用来降维，LBP用于提取纹理特征-PCA used for dimensional reduction, LBP used to extract the texture characteristics
bulk-download (1)
- 最新的对于提高步态识别率的特征表示,这篇文章详细的介绍了新的步态识别的特征表示方法，通过这种特征表示方法，我们可以在步态识别的时候更好的识别。提高了我们步态识别在很多负责场景中不能运用的弊端。改善了目前步态识别在研究上面的缺陷。(the paper presents a new gait representation called SEGI to perform gait recognition)
character
- 字符识别，给定几组图片，能够识别出同一个字的不同字体-Character recognition,when given several groups image, can be identified with a different character fonts
image-processing-and-recognition-
- 一本非常好的图像处理与识别实用案例精选电子书（利用超星阅读器），包含程序源代码（visual c++和matlab）。请大家一定好好利用该资源！-A very good practical case of image processing and recognition book selection (using the Superstar Reader), contains the source code (visual c++ and matlab). Please make sure to
SvmMNIST
- 通过SVM算法识别MNIST手写数字库，并加入了一些预处理算法，包括数字图像的大小调整归一化等，效果不错。-By SVM algorithm identifies MNIST handwritten digital library and added some preprocessing algorithms, including the size of the digital image adjustment normalized so good results.
Graphite
- 石墨烯图像识别软件，核心算法是自己编写，可以用于相关科研图像识别。-Graphene image recognition software, the core algorithm is to write, can be used in image recognition of relevant scientific research.
ZXing.Net.0.16.0.0
- 通过ZXing DLL 生成二维码，该DLL 是由谷歌生产，市面上使用率比较高。(Generating two dimensional codes through ZXing DLL)
CarNumber
- 本算法进行车牌识别，首先提取车牌的位置，然后对车牌的字符进行分割，最后进行识别，将识别结果输出。本算法能得到较好的识别结果。(The algorithm for license plate recognition, the first extraction of the location of the license plate, and then the license plate character segmentation, and finally identify the recogni
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
ferns_demo-1.1
- Random Ferns算法实现,通过将时间负荷转移到训练上,使得识别速度与精度都比SIFT高,具有很高的实时性.-Random Ferns algorithm, through the load transfer to the train on time, so that the recognition speed and accuracy than SIFT high, with high real-time.