spring boot + maven + opencv 车牌识别系统，包含车牌检测、车牌号识别训练

java身份证号码识别,适用于web端身份证识别服务器，前端进行身份证号码定位，后端精准处理识别，准确率在96左右，对于自治区的身份证前面有其他文字的一样可以识别

中药识别APP服务器端

superPixelSegmentation using SEEDS and SLIC, OpenCV3.2.0 source code files

百度ai使用

FACE RECOGNITION ---------------- The Yale Face Database contains 165 grayscale images in GIF format of 15 individuals. There are 11 images per subject, one per different facial expression or configuration: center-light, w/glasses, happy, left-light, w/no glasses, normal, right-light, sad, sleepy, surprised, and wink. Your tasks are the following: 1. I have divided image into small blocks and extracted local binary patterns (LBP) from each block. Concatenated all LBP histograms to make a feature vector of an image. 2. Another feature vector is created out of gray levels of integral image. 3. Finally gray levels of image have been used as the last feature vector. 4. After Concatenating all feature vectors. I have Taken four images of each person for testing and the rest as training examples. 5. Using PCA to classify image for one-verses all classification scheme, i have shown results for few images that are selected randomly and reported the accuracy for all testing images using individual feature sets (gray level, integral, and LBP separately) and also for concatenated feature sets.