资源列表
HanZiPSkeleton
- matlab实现数字字母的识别和检索程序-Digital Identification retrieval
85719021wenzishibie001
- matlab程序实现汉字和字母的识别和检索-character recognition and retrieval matlab realize
QRCodes
- 基于matlab 来开发QR识别和译码程序，运用图像校正、二值化、边缘检测等各种图像处理方法实现条码的预处理，并进行QR码的解码和纠错算法，充分利用面向对象的方法，结合图像处理技术，完成了基于图像处理的QR码快速识别的解码系统。-Based on Matlab QR recognition and decoding procedures, the use of the image correction, binarization, edge detection, and other variou
bradley
- The main function for local thresholding. averagefilter.m A subroutine - a faster version of MATLAB s build-in fspecial( average , [3 3]). bradley.png-The main function for local thresholding. averagefilter.m A subroutine- a faster version o
barcode
- 条码识别matlab代码，解压缩文件，运行M文件-barcode recognition
BPmatlab
- 学习神经网络的好助手，可以仿照其中的代码，只需修改个别参数便可以轻易实现自己需要完成的任务- Good assistant learning neural network, which can be modeled on the code, just modify individual parameters can be easily realized they need to complete tasks
Faceracognzie
- 通过分割图像，利用TRAINGDM算法训练BP神经网络，对人脸进行识别-By dividing the image , use TRAINGDM training BP neural network algorithm for face recognition
SOMface_demo
- 基于som脸编写的人脸识别算法，应用在feret数据集上，效果不错-Face recognition algorithm based on som face writing, applied on feret dataset, effect is good
ORL
- ORL人脸数据集，用于进行人脸识别，有40类人，每类人姿态，表情不同共10张-ORL face data set and used for face recognition, there are 40 kinds of people, each type of gesture, facial expression, a total of 10 different copies
Yale
- yale数据集，一共15类人，每类人根据姿态，表情，光照不同分为11张，共有165张-yale data sets, a total of 15 categories of people, every class of people based on gestures, facial expressions, divided into 11 different illumination, a total of 165
NN_Recognition
- 1、输入80乘80的英文手写字母图像，对训练数据进行训练，然后输入测试数据，完成字母识别。 2、txt文档详细说明如何配置、运行，一般情况下可以直接运行成功。 3、主要原理采用神经网络进行手写字母识别，准确率较高。 -1, enter 80 x 80 handwritten English alphabet image, the training data for training, and then enter the test data, complete the letter
EigenFace
- 很好的应用特征脸进行人脸表情识别，里边包含训练库以及测试库。-Good application characteristics face for face expression recognition, inside the library containing the training and test libraries.