使用 Java 实现验证码识别与自动化登录

1. 安装所需依赖
   首先，确保你已经安装了 JDK。可以使用 Maven 来管理依赖。在 pom.xml 中添加以下依赖：

xml

java

import org.apache.http.HttpEntity;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;

import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;

public class CaptchaDownloader {

public static void downloadCaptcha(String url, String savePath) {
    try (CloseableHttpClient httpClient = HttpClients.createDefault()) {
        HttpGet httpGet = new HttpGet(url);
        CloseableHttpResponse response = httpClient.execute(httpGet);
        HttpEntity entity = response.getEntity();
        if (entity != null) {
            try (InputStream inputStream = entity.getContent();
                 FileOutputStream outputStream = new FileOutputStream(savePath)) {
                byte[] buffer = new byte[1024];
                int bytesRead;
                while ((bytesRead = inputStream.read(buffer)) != -1) {
                    outputStream.write(buffer, 0, bytesRead);
                }
                System.out.println("验证码图片已保存为 " + savePath);
            }
        }
        EntityUtils.consume(entity);
    } catch (IOException e) {
        System.err.println("下载失败: " + e.getMessage());
    }
}

}
3. 图像处理和 OCR 识别
使用 Tesseract 进行 OCR 识别。首先，处理图像并识别验证码：

java

import net.sourceforge.tess4j.Tesseract;
import net.sourceforge.tess4j.TesseractException;

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

public class CaptchaRecognizer {

public static String recognizeCaptcha(String imagePath) {
    Tesseract tesseract = new Tesseract();
    tesseract.setDatapath("tessdata"); // 设置 Tesseract 数据路径
    tesseract.setLanguage("eng"); // 设置识别语言

    try {
        BufferedImage image = ImageIO.read(new File(imagePath));
        String result = tesseract.doOCR(image);
        System.out.println("识别结果: " + result);
        return result.trim();
    } catch (TesseractException | IOException e) {
        System.err.println("识别失败: " + e.getMessage());
        return null;
    }
}

}
4. 自动化登录
最后，使用 HttpClient 发送 POST 请求，模拟登录操作，并传递用户名、密码和识别出的验证码：

java

import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.entity.StringEntity;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;

public class Login {

public static void login(String username, String password, String captcha) {
    String url = "https://captcha7.scrape.center/login";
    try (CloseableHttpClient httpClient = HttpClients.createDefault()) {
        HttpPost post = new HttpPost(url);
        post.setHeader("Content-Type", "application/json");
        String json = String.format("{\"username\":\"%s\", \"password\":\"%s\", \"captcha\":\"%s\"}", username, password, captcha);
        post.setEntity(new StringEntity(json));

        CloseableHttpResponse response = httpClient.execute(post);
        if (response.getStatusLine().getStatusCode() == 200) {
            System.out.println("登录成功");
        } else {
            System.out.println("登录失败: " + response.getStatusLine().getStatusCode());
        }
    } catch (IOException e) {
        System.err.println("登录过程中出现错误: " + e.getMessage());
    }
}

}更多内容联系1436423940
5. 主程序
整合上述代码，创建主程序：

java

public class Main {
public static void main(String[] args) {
String captchaUrl = "https://captcha7.scrape.center/captcha.png";
String captchaPath = "captcha.png";
String processedCaptchaPath = "captcha_processed.png";

    // 下载验证码
    CaptchaDownloader.downloadCaptcha(captchaUrl, captchaPath);

    // 识别验证码
    String captchaText = CaptchaRecognizer.recognizeCaptcha(captchaPath);

    // 登录
    if (captchaText != null) {
        Login.login("admin", "admin", captchaText);
    }
}

}