资源列表
anhangfenge
- 在二值化图像基础上，基于空行进行分割，去掉行高太小的区域,对分割出的每一行文字，去掉前后多余的空白部分-Each line of text in the binary image based, based on the blank line segmentation, remove the row height is too small area, the segmented and removed before and after extra blank part of the
Image_Feature
- 图像特征提取代码，包括LBP、HOG、Haar、Zernike矩、Hu矩特征，.h文件有如何调用的说明。-LBP feature、HOG feature、Haar feature、Moment feature
face_detect_photo
- 基于Opencv进行人脸检测，并把检测到人脸切割下来保存-For detecting a human face and cut images to saved
Laplace
- 金字塔分解图像-Pyramid image
Opencv_plate
- 基于opencv的国外车牌识别思路，已经可以正常识别，-Opencv based on the idea of foreign license plate recognition can already be properly identified,
character-training-set
- 车牌识别，各省汉字训练集，全是手动筛选的，部分省市素材缺少所以缺乏样本-License plate recognition, Chinese character training set
Autoencoder_Code
- 深度学习的代码，用于手写数字体识别，包括了受限玻尔兹曼机(RBM)网络的实现-Code provided by Ruslan Salakhutdinov and Geoff Hinton
fireDetect-v1.0
- 火焰检测的程序，使用了图像的颜色特征和尺度不变特征SIFT以及加速鲁棒特征SURF对候选区域进行筛选，并结合火焰的运动特性来判断-Real-time fire and flame detection- version 1.0
CORDIC
- CORDIC的FPGA代码和modelsim仿真，亲测可用，精度较高-CORDIC FPGA code and modelsim simulation, pro-test available, high precision
Plate_Recognition_System
- 一种新的车牌识别方法，利用分级操作提高识别率-A Cascade Framework for a Real-Time Statistical Plate Recognition System
face-detection
- 实现人脸检测，能将人脸部分用红线框出，为人脸识别做了较好的基础。里面有检测照片。-Implement face detection, can face parts out of the box with a red line for face recognition do a good foundation.There are detected photos.
KPCA-ORL
- 随着人脸识别越来越受到重视，而人脸识别中特征降维又很重要，所以特征降维算法也很重要。因此PCA降维算法很重要-Dimensionality reduction for Face Recognition