如何利用Java技术识别合同中公章的真假程度
摘要:
公章在合同中扮演着重要角色,确保合同的合法性和真实性。然而,伪造公章的技术也在不断更新,给合同识别带来挑战。本文将介绍如何利用Java技术来识别合同中公章的真假程度,并给出相应的代码示例。
一、识别公章的真假原理
公章是企事业单位的法定印章,具有唯一性、封闭性和规范性。公章的真伪可通过以下几个方面进行识别:
二、Java技术识别公章的真假方法
代码示例:
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.imgproc.Imgproc;
import org.opencv.core.CvType;
import org.opencv.core.CvType.CV_8U;
public class SealDetection {
public static void main(String[] args) {
// 加载本地库 System.loadLibrary(Core.NATIVE_LIBRARY_NAME); // 读取图片文件 Mat sourceImage = Imgcodecs.imread("contract_seal.jpg"); // 灰度处理 Mat grayImage = new Mat(); Imgproc.cvtColor(sourceImage, grayImage, Imgproc.COLOR_BGR2GRAY); // 图像边缘检测 Mat edgeImage = new Mat(); Imgproc.Canny(grayImage, edgeImage, 100, 200); // 圆查找 Mat circles = new Mat(); Imgproc.HoughCircles(edgeImage, circles, Imgproc.CV_HOUGH_GRADIENT, 1, edgeImage.rows()/8, 200, 100, 0, 0); // 绘制检测到的圆 for (int i = 0; i < circles.cols(); i++) { double[] circleData = circles.get(0, i); Point center = new Point(Math.round(circleData[0]), Math.round(circleData[1])); int radius = (int) Math.round(circleData[2]); Imgproc.circle(sourceImage, center, radius, new Scalar(0, 255, 0), 2); } // 显示处理结果 HighGui.imshow("Detected Seals", sourceImage); HighGui.waitKey(0);
}
}
代码示例:
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.features2d.FeatureDetector;
import org.opencv.features2d.Features2d;
import org.opencv.features2d.FlannBasedMatcher;
import org.opencv.features2d.KAZE;
import org.opencv.features2d.KeyPoint;
import org.opencv.features2d.DescriptorExtractor;
import org.opencv.features2d.DescriptorMatcher;
import java.util.ArrayList;
import java.util.LinkedList;
import java.util.List;
public class SealValidation {
public static void main(String[] args) {
//加载本地库 System.loadLibrary(Core.NATIVE_LIBRARY_NAME); //读取真实公章图像 Mat refImage = Imgcodecs.imread("real_seal.jpg"); //读取合同公章图像 Mat testImage = Imgcodecs.imread("contract_seal.jpg"); //创建KAZE关键点检测器 FeatureDetector detector = FeatureDetector.create(FeatureDetector.KAZE); //检测关键点 MatOfKeyPoint refKp = new MatOfKeyPoint(); MatOfKeyPoint testKp = new MatOfKeyPoint(); detector.detect(refImage, refKp); detector.detect(testImage, testKp); //提取特征描述子 DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.KAZE); Mat descriptorRef = new Mat(); Mat descriptorTest = new Mat(); extractor.compute(refImage, refKp, descriptorRef); extractor.compute(testImage, testKp, descriptorTest); //创建FLANN特征匹配器 DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_HAMMING); //匹配特征描述子 MatOfDMatch matches = new MatOfDMatch(); matcher.match(descriptorRef, descriptorTest, matches); //绘制匹配结果 Mat outputImage = new Mat(); Scalar matchColor = new Scalar(0, 255, 0); Features2d.drawMatches(refImage, refKp, testImage, testKp, matches, outputImage, matchColor, Scalar.all(-1), new MatOfByte(), Features2d.NOT_DRAW_SINGLE_POINTS); //计算匹配度 double totalMatches = matches.rows(); System.out.println("总匹配点数: " + totalMatches); double maxDist = 0; double minDist = 100; List<DMatch> matchList = matches.toList(); //获取匹配点的最大和最小距离 for (int i = 0; i < totalMatches; i++) { double dist = matchList.get(i).distance; if (dist < minDist) minDist = dist; if (dist > maxDist) maxDist = dist; } //选择适合的匹配点 LinkedList<DMatch> goodMatches = new LinkedList<DMatch>(); for (int i = 0; i < totalMatches; i++) { if (matchList.get(i).distance <= 3 * minDist) { goodMatches.addLast(matchList.get(i)); } } //计算匹配率 double matchPercentage = (goodMatches.size() / totalMatches) * 100; System.out.println("公章匹配率: " + matchPercentage + "%"); //显示处理结果 HighGui.imshow("Matched Seals", outputImage); HighGui.waitKey(0);
}
}
三、结论
利用Java技术识别合同中公章的真假程度是一项复杂而有挑战性的任务。通过图像处理和特征匹配技术,我们可以对公章进行各种维度的分析和比对,从而识别公章的真伪程度。当然,由于伪造技术不断变化,识别公章的方法也需要不断更新和完善。
公章真伪识别是合同中的重要环节,对于企事业单位和个人来说都具有重要意义。希望本文提供的Java技术方法和代码示例能对读者在识别合同中公章的真假程度方面提供一些帮助。
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