基于JavaWeb+OpenCV实现的人脸识别管理系统源码+数据库(个人毕设项目).zip

package utils; import config.path; import org.opencv.core.*; import org.opencv.highgui.HighGui; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc; import org.opencv.objdetect.CascadeClassifier; import org.opencv.videoio.VideoCapture; import java.util.Arrays; public class cameraUtil { /** * 打开摄像头并且抓取 * * @return VideoCapture */ public static VideoCapture open() { System.loadLibrary(Core.NATIVE_LIBRARY_NAME);//加载openCV System.setProperty("java.awt.headless", "false");//关闭headless模式 VideoCapture capture = new VideoCapture(); capture.set(7, 120);//设置帧率 capture.open(0, 700);//打开本机摄像头，并一直抓取 return capture; } /** * 释放摄像头 * @param capture */ public static void close(VideoCapture capture){ capture.release(); } /** * 检测人脸坐标 * * @param src * @return faceDetections */ public static MatOfRect faceDetections(Mat src) { //输出帧 Mat dtc; //openCV自带的人脸模型数据 //人脸特征提取器 CascadeClassifier classifier = new CascadeClassifier(path.haarcascades); //人脸坐标的集合 MatOfRect faceDetections = new MatOfRect(); dtc = grayMat(src); classifier.detectMultiScale(dtc, faceDetections); return faceDetections; } /** * 灰度化 * * @param src * @return */ public static Mat grayMat(Mat src) { Mat dtc = new Mat(); Imgproc.cvtColor(src, dtc, Imgproc.COLOR_BGR2GRAY); return dtc; } /** * 根据坐标绘画人脸框 * * @param src * @param faceDetections * @return Mat */ public static Mat showFace(Mat src, MatOfRect faceDetections) { for (Rect rect : faceDetections.toArray()) { Imgproc.rectangle(src, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 0, 255), 2); } return src; } /** * 画面展示 * * @param src * @return 按下按键ASCII码 */ public static int show(Mat src) { HighGui gui = new HighGui(); Core.flip(src, src, 1);//镜像翻转 gui.imshow("人脸识别", src); return gui.waitKey(1);//返回按下按键ASCII码 } /** * 相关系数大于0.72则判定是同一个人 * * @param src * @return boolean */ public static boolean compareFace(Mat src, String name) { src = grayMat(src); Mat compare = Imgcodecs.imread(path.faceSave + name + ".jpg"); compare = grayMat(compare); Mat hist1 = new Mat(); Mat hist2 = new Mat(); MatOfFloat ranges = new MatOfFloat(0f, 256f); MatOfInt histSize = new MatOfInt(10000000); Imgproc.calcHist(Arrays.asList(src), new MatOfInt(0), new Mat(), hist1, histSize, ranges); Imgproc.calcHist(Arrays.asList(compare), new MatOfInt(0), new Mat(), hist2, histSize, ranges); double res = Imgproc.compareHist(hist1, hist2, Imgproc.CV_COMP_CORREL); System.out.println(res); if (res > 0.72) { System.out.println("是同一个人"); } else { System.out.println("不是用一个人"); } return Imgproc.compareHist(hist1, hist2, Imgproc.CV_COMP_CORREL) > 0.72; } /** * 裁剪图片并保存 * * @param src * @param rect * @return */ public static void imageCut(Mat src, Rect rect, String name) { //截取图片 Mat dtc = src.submat(rect); Size size = new Size(rect.width, rect.height); //图片的缩放 Imgproc.resize(dtc, dtc, size); //存放 Imgcodecs.imwrite(path.faceSave + name + ".jpg", dtc); } }