How to use Java technology to effectively identify the authenticity of the official seal on a contract

How to use Java technology to effectively identify the authenticity of the official seal on a contract

With the continuous advancement of technology, more and more documents, contracts and other documents are being digitized Processing, the anti-counterfeiting and security of official seals become particularly important. Using Java technology to effectively identify the authenticity of the official seal on the contract can help us strengthen the security and reliability of the official seal. This article will introduce how to use Java technology to identify the authenticity of official seals, and provide corresponding code examples.

Step one: Obtain the official seal image data
First, we need to obtain the official seal image data on the contract. This can be accomplished by scanning the contract, taking photos of the contract, etc. In Java, we can use Image class to process image data. The following is a sample code for loading an image file into a Java program:

import java.awt.Image;
import java.awt.image.BufferedImage;
import javax.imageio.ImageIO;
import java.io.File;
import java.io.IOException;

public class ContractSealVerification {
    public static void main(String[] args) {
        try {
            File imageFile = new File("seal.jpg"); // 公章图像文件的路径
            BufferedImage image = ImageIO.read(imageFile); // 加载图像文件
            // 根据需要，我们可以对图像进行预处理，例如灰度化、二值化等操作
            // ...
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
}

Step 2: Extract the features of the official seal image
Before identifying the authenticity of the official seal, we need to extract the features of the official seal image . Commonly used feature extraction methods include gray level co-occurrence matrix, local binary pattern, etc. In this example, we take the gray level co-occurrence matrix as an example. The following is a sample code for extracting the grayscale co-occurrence matrix features of the official seal image:

import java.awt.Image;
import java.awt.image.BufferedImage;
import javax.imageio.ImageIO;
import java.io.File;
import java.io.IOException;

public class ContractSealVerification {
    public static void main(String[] args) {
        try {
            File imageFile = new File("seal.jpg"); // 公章图像文件的路径
            BufferedImage image = ImageIO.read(imageFile); // 加载图像文件
            int[][] grayMatrix = extractGrayMatrix(image); // 提取灰度共生矩阵特征
            // ...
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    public static int[][] extractGrayMatrix(BufferedImage image) {
        // 根据需要，我们可以调整图像的大小
        int width = image.getWidth();
        int height = image.getHeight();
        int[][] grayMatrix = new int[width][height];
        
        for (int i = 0; i < width; i++) {
            for (int j = 0; j < height; j++) {
                // 将RGB颜色转换为灰度值
                int rgb = image.getRGB(i, j);
                int gray = (rgb >> 16) & 0xff; // 获取红色分量
                grayMatrix[i][j] = gray;
            }
        }
        
        return grayMatrix;
    }
}

Step 3: Establish the official seal authenticity model
After obtaining the characteristics of the official seal image, we need to establish the official seal authenticity model Pseudo model. This can use traditional machine learning algorithms, such as support vector machine (SVM), random forest (Random Forest), etc. The following is a sample code for establishing an official seal authenticity model:

import java.awt.Image;
import java.awt.image.BufferedImage;
import javax.imageio.ImageIO;
import java.io.File;
import java.io.IOException;
import java.util.List;
import java.util.ArrayList;
import weka.classifiers.Classifier;
import weka.classifiers.functions.LibSVM;
import weka.core.Attribute;
import weka.core.DenseInstance;
import weka.core.Instance;
import weka.core.Instances;

public class ContractSealVerification {
    public static void main(String[] args) {
        try {
            // 获取训练数据
            Instances instances = getTrainingData();
            // 建立支持向量机(SVM)分类器
            Classifier classifier = new LibSVM();
            classifier.buildClassifier(instances);
            
            // 获取待鉴别的公章图像特征
            int[][] grayMatrix = extractGrayMatrix(image);
            double[] features = extractFeatures(grayMatrix);
            Instance instance = new DenseInstance(1.0, features);
            instance.setDataset(instances);
            
            // 进行真伪预测
            double prediction = classifier.classifyInstance(instance);
            if (prediction == 0) {
                System.out.println("公章是真实的");
            } else {
                System.out.println("公章是伪造的");
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }

    public static Instances getTrainingData() {
        // 创建属性列表
        List<Attribute> attributes = new ArrayList<>();
        // 添加特征属性
        for (int i = 0; i < numFeatures; i++) {
            Attribute attribute = new Attribute("feature" + i);
            attributes.add(attribute);
        }
        // 添加类别属性
        List<String> labels = new ArrayList<>();
        labels.add("真实");
        labels.add("伪造");
        Attribute labelAttribute = new Attribute("label", labels);
        attributes.add(labelAttribute);
        
        // 创建数据集
        Instances instances = new Instances("seal_verification", attributes, 0);
        instances.setClassIndex(instances.numAttributes() - 1);
        
        // 添加训练样本
        Instance instance1 = new DenseInstance(numFeatures + 1);
        // 设置特征值
        for (int i = 0; i < numFeatures; i++) {
            instance1.setValue(i, featureValue);
        }
        // 设置类别
        instance1.setValue(numFeatures, "真实");
        instances.add(instance1);
        // ...
        
        return instances;
    }
    
    public static double[] extractFeatures(int[][] grayMatrix) {
        // 提取图像特征
        double[] features = new double[numFeatures];
        // ...
        return features;
    }
}

Summary:
This article introduces how to use Java technology to effectively identify the authenticity of the official seal on a contract. By obtaining the official seal image data, extracting the official seal image features and establishing the official seal authenticity model, we can use Java to realize the official seal authenticity identification function. It is hoped that readers can learn from the contents of this article in practical applications and optimize and expand the code according to specific needs.

Note: The code in this section uses the third-party library Weka to implement machine learning tasks.

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