一、使用的技术：

1.调用百度AI通用文字识别OCR接口

2.图像识别算法

二、实现方案与步骤：

1.得到验证码的图片的坐标：先将验证码截图，然后再对整个电脑屏幕截图，通过大图找小图的方法，计算出小图在大图中的坐标，从而得到验证码的坐标。

2.通过验证码的坐标实现每次截验证码的图片的精准坐标，每次通过该坐标来截图，调用文字识别接口，实现验证码的识别，识别之后，复制到剪贴板。

3.截验证码提交表单的小图，再截整个电脑屏幕，通过大图找小图的方法，计算出小图在大图中的图标，从而得到提交框的坐标。

4.通过java模拟鼠标动作移动到验证码提交框的坐标上再模拟点击鼠标，鼠标的光标在提交框里，让提交框是输入状态，再通过模拟键盘动作Ctrl+v，把刚才复制到剪贴板的验证码粘贴到提交框。

5.截验证码提交按钮的小图，再截整个电脑屏幕，通过大图找小图的方法，计算出小图在大图中的图标，从而得到提交按钮的坐标。

6.通过java模拟鼠标动作移动到验证码提交按钮的坐标上再模拟点击鼠标。

以上就是java实现自动识别验证码并自动填写提交的完整方案。

三、具体实现：

1.如何调用百度AI通用文字识别接口？

（1）在浏览器输入网址http://ai.baidu.com/或者百度搜索‘百度AI’点击官网那个。点击主页的产品服务，看到通用文字识别，选择技术文档，下载Java SDK，解压后得到4个jar包。或者直接从我云盘下：百度网盘提取码：p8sc
把解压后的文件复制粘贴到eclipse的项目的文件夹里。
我项目名字是Test1。

（2）刷新项目，选中刚才复制过来的文件夹，右键单击add build path，或者右键项目Build Path -> Add JARs选择那4个jar包，确定。

（3）使用百度ai图片文字识别的接口前还需要 API Key和clientSecret ，得申请一个。首先进入控制台：（前提是已有百度账号：如百度云盘、贴吧等等）

选择：产品服务–>人工智能–>文字识别

点击：创建应用

创建好了就会如下图所示，AppId、API Key、Secret Key都是有值的。到时候在代码里把这些值填进去就好。

2.代码实现：

（1）如何调用这个接口呢？

在我们的项目Test1文件夹里新建java类文件，话不多说，直接上代码：

1.先给一下maven 依赖三个：

2.引用的库：

3.AuthService.java

package test1;import org.json.JSONObject;
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.List;
import java.util.Map;public class AuthService {/*** 获取权限token* @return 返回示例：* {* "access_token": "24.460da4889caad24cccdb1fea17221975.2592000.1491995545.282335-1234567",* "expires_in": 2592000* }*/public static String getAuth() {// 官网获取的 API Key 更新为你注册的String clientId = "这里填你申请到的API Key";// 官网获取的 Secret Key 更新为你注册的String clientSecret = "这里填你申请到的Secret Key";return getAuth(clientId, clientSecret);}/*** 获取API访问token* 该token有一定的有效期，需要自行管理，当失效时需重新获取.* @param ak - 百度云官网获取的 API Key* @param sk - 百度云官网获取的 Securet Key* @return assess_token 示例：* "24.460da4889caad24cccdb1fea17221975.2592000.1491995545.282335-1234567"*/private static String getAuth(String ak, String sk) {// 获取token地址String authHost = "https://aip.baidubce.com/oauth/2.0/token?";String getAccessTokenUrl = authHost// 1. grant_type为固定参数+ "grant_type=client_credentials"// 2. 官网获取的 API Key+ "&client_id=" + ak// 3. 官网获取的 Secret Key+ "&client_secret=" + sk;try {URL realUrl = new URL(getAccessTokenUrl);// 打开和URL之间的连接HttpURLConnection connection = (HttpURLConnection) realUrl.openConnection();connection.setRequestMethod("GET");connection.connect();// 获取所有响应头字段Map<String, List<String>> map = connection.getHeaderFields();// 遍历所有的响应头字段for (String key : map.keySet()) {//  System.out.println(key + "--->" + map.get(key));}// 定义 BufferedReader输入流来读取URL的响应BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream()));StringBuilder result = new StringBuilder();String line;while ((line = in.readLine()) != null) {result.append(line);}/*** 返回结果示例*/// System.out.println("result:" + result);JSONObject jsonObject = new JSONObject(result.toString());return jsonObject.getString("access_token");} catch (Exception e) {//System.out.printf("获取token失败！");e.printStackTrace(System.err);}return null;}public void main(String[] args) {getAuth();}
}

4.BaseImg64.java

package test1;import sun.misc.BASE64Encoder;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;/*** 图片转化base64后再UrlEncode结果*/
@SuppressWarnings("restriction")
public class BaseImg64 {/*** 将一张本地图片转化成Base64字符串* @param imgPath 本地图片地址* @return 图片转化base64后再UrlEncode结果*/public static String getImageStrFromPath(String imgPath) { InputStream in; byte[] data = null; // 读取图片字节数组 try { in = new FileInputStream(imgPath); data = new byte[in.available()];in.read(data); in.close(); } catch (IOException e) {e.printStackTrace(); } // 对字节数组Base64编码BASE64Encoder encoder = new BASE64Encoder();// 返回Base64编码过再URLEncode的字节数组字符串try {return URLEncoder.encode(encoder.encode(data),"UTF-8");} catch (UnsupportedEncodingException e) {// TODO Auto-generated catch blocke.printStackTrace();}return null;}
}

EasySpecProvider.java

package test1;import org.apache.http.cookie.CookieSpec;
import org.apache.http.cookie.CookieSpecProvider;
import org.apache.http.protocol.HttpContext;public class EasySpecProvider implements CookieSpecProvider {@Overridepublic CookieSpec create(HttpContext arg0) {// TODO Auto-generated method stubreturn null;}
}

6.Check.java 测试看看有没有成功

首先，得在D:\data\image\wjc.png这个路径里，也就是image文件夹里放一张验证码的图片
，随便网上下一张验证码的图片即可，不要那种肉眼难辨的文字哦！

import java.net.URISyntaxException;
import java.io.File;
import java.net.URI;
import org.apache.http.client.HttpClient;
import org.apache.http.client.config.CookieSpecs;
import org.apache.http.client.config.RequestConfig;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpGet;
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.DefaultHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;
/*** 测试类* @author Administrator**/@SuppressWarnings("deprecation")
public class Check {private static final String POST_URL = "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic?access_token=" + AuthService.getAuth();/*** 识别本地图片的文字** @param path 本地图片地址* @return 识别结果，为json格式* @throws URISyntaxException URI打开异常* @throws IOException        io流异常*/public static String checkFile(String path) throws URISyntaxException, IOException {File file = new File(path);if (!file.exists()) {throw new NullPointerException("图片不存在");}String image = BaseImg64.getImageStrFromPath(path);String param = "image=" + image;return post(param);}/*** @param url 图片url* @return 识别结果，为json格式*/public static String checkUrl(String url) throws IOException, URISyntaxException {String param = "url=" + url;return post(param);}/*** 通过传递参数：url和image进行文字识别** @param param 区分是url还是image识别* @return 识别结果* @throws URISyntaxException URI打开异常* @throws IOException        IO流异常*/private static String post(String param) throws URISyntaxException, IOException {//开始搭建post请求URI url = new URI(POST_URL);RequestConfig globalConfig = RequestConfig.custom().setCookieSpec(CookieSpecs.IGNORE_COOKIES).build();  CloseableHttpClient client = HttpClients.custom().setDefaultRequestConfig(globalConfig).build();  HttpGet request = new HttpGet(url);  HttpClient httpClient = new DefaultHttpClient();HttpPost post = new HttpPost();post.setURI(url);//设置请求头，请求头必须为application/x-www-form-urlencoded，因为是传递一个很长的字符串，不能分段发送post.setHeader("Content-Type", "application/x-www-form-urlencoded");StringEntity entity = new StringEntity(param);post.setEntity(entity);CloseableHttpResponse response = client.execute(post);// HttpResponse response = httpClient.execute(post);//  System.out.println(response.toString());if (response.getStatusLine().getStatusCode() == 200) {String str;try {/*读取服务器返回过来的json字符串数据*/str = EntityUtils.toString(response.getEntity());String []result=str.split(":");result1 = result[4].split("\"");// System.out.println(result1[1]);//验证码结果System.out.println(str);//打印得到的数据return str;} catch (Exception e) {e.printStackTrace();return null;}}return null;}public static void main(String[] args) throws Exception {String  path1 = "D:\\data\\image\\wjc.png";//绝对路径try {long now = System.currentTimeMillis();checkFile(path1);//这是测网页上的图片// checkUrl("https://images0.cnblogs.com/blog/508489/201505/101311124074020.png");System.out.println("耗时：" + (System.currentTimeMillis() - now) / 1000 + "s");} catch (URISyntaxException | IOException e) {e.printStackTrace();}}}

到此，文字识别就实现啦！

2.如何实现大图找小图？

直接上代码！
请新建项目测试哦！
CoordBean.java

public class CoordBean
{private int x;private int y;public int getX(){return this.x;}public void setX(int x) {this.x = x;}public int getY(){return this.y;}public void setY(int y) {this.y = y;}
}

ImageCognition.java

import java.awt.Color;
import java.awt.image.BufferedImage;
import java.util.ArrayList;
import java.util.List;
/*** 图像识别* @author Administrator**/
public class ImageCognition
{//精确度public static final int SIM_ACCURATE_VERY = 0;public static final int SIM_ACCURATE = 31;public static final int SIM_BLUR = 61;public static final int SIM_BLUR_VERY = 81;public List<CoordBean> imageSearch(BufferedImage sourceImage, BufferedImage searchImage, int sim){List list = new ArrayList();RgbImageComparerBean pxSource = getPX(sourceImage);RgbImageComparerBean pxSearch = getPX(searchImage);int[][] px = pxSource.getColorArray();int[][] pxS = pxSearch.getColorArray();int pxSXMax = pxSearch.getImgWidth() - 1;int pxSYMax = pxSearch.getImgHeight() - 1;int xSearchEnd = pxSource.getImgWidth() - pxSearch.getImgWidth();int ySearchEnd = pxSource.getImgHeight() - pxSearch.getImgHeight();int contentSearchX = 1;int contentSearchY = 1;double pxPercent = 0.9900000095367432D;if (sim > 0){pxPercent = sim / 255.0D / 4.0D;}for (int x = 0; x < xSearchEnd; x++) {for (int y = 0; y < ySearchEnd; y++){boolean contrast = false;if (sim < 32){if (colorCompare(px[x][y], pxS[0][0], sim)){int pxX = x + pxSearch.getImgWidth() - 1;if (colorCompare(px[pxX][y], pxS[pxSXMax][0], sim)){int pxY = y + pxSearch.getImgHeight() - 1;if (colorCompare(px[x][pxY], pxS[0][pxSYMax], sim)){if (colorCompare(px[pxX][pxY], pxS[pxSXMax][pxSYMax], sim)){if (pxSXMax > 2) {contentSearchX = (int)Math.ceil(pxSXMax / 2);}if (pxSYMax > 2) {contentSearchY = (int)Math.ceil(pxSYMax / 2);}if (colorCompare(px[(x + contentSearchX)][(y + contentSearchY)], pxS[contentSearchX][contentSearchY], sim)){contrast = true;}}}}}}else {contrast = true;}if (sim < 62){if (contrast) {int yes = 0;int ySour = y + contentSearchY;for (int i = 0; i < pxSearch.getImgWidth(); i++){if (colorCompare(px[(x + i)][ySour], pxS[i][contentSearchY], sim)) {yes++;}}if (yes / pxSearch.getImgWidth() > pxPercent)contrast = true;else {contrast = false;}}if (contrast) {int yes = 0;int xSour = x + contentSearchX;for (int i = 0; i < pxSearch.getImgHeight(); i++){if (colorCompare(px[xSour][(y + i)], pxS[contentSearchX][i], sim)) {yes++;}}if (yes / pxSearch.getImgHeight() > pxPercent)contrast = true;elsecontrast = false;}}else{contrast = true;}if (contrast) {int yes = 0;for (int xS = 0; xS < pxSearch.getImgWidth(); xS++) {for (int yS = 0; yS < pxSearch.getImgHeight(); yS++){if (colorCompare(px[(x + xS)][(y + yS)], pxS[xS][yS], sim)) {yes++;}}}if (yes / pxSearch.getPxCount() > pxPercent) {CoordBean coord = new CoordBean();coord.setX(x);coord.setY(y);list.add(coord);}}}}return list;}public RgbImageComparerBean getPX(BufferedImage bufferedImage){int width = bufferedImage.getWidth();int height = bufferedImage.getHeight();int minx = bufferedImage.getMinX();int miny = bufferedImage.getMinY();RgbImageComparerBean rgb = new RgbImageComparerBean();int[][] colorArray = new int[width][height];for (int i = minx; i < width; i++) {for (int j = miny; j < height; j++) {colorArray[i][j] = bufferedImage.getRGB(i, j);}}rgb.setColorArray(colorArray);return rgb;}public boolean colorCompare(int pxSource, int pxSearch, int sim){if (sim == 0) {return pxSearch == pxSource;}Color sourceRgb = new Color(pxSource);Color searchRgb = new Color(pxSearch);return colorCompare(sourceRgb, searchRgb, sim);}public boolean colorCompare(Color color1, Color color2, int sim){return (Math.abs(color1.getRed() - color2.getRed()) <= sim) && (Math.abs(color1.getGreen() - color2.getGreen()) <= sim) && (Math.abs(color1.getBlue() - color2.getBlue()) <= sim);}
}

RgbImageComparerBean.java

/*** 图像对比* @author Administrator**/
public class RgbImageComparerBean
{private int[][] colorArray;private boolean[][] ignorePx;private int imgWidth;private int imgHeight;private int pxCount;public int[][] getColorArray(){return this.colorArray;}public void setPxCount(int pxCount){this.pxCount = pxCount;}public void setColorArray(int[][] colorArray){this.colorArray = colorArray;this.imgWidth = this.colorArray.length;this.imgHeight = this.colorArray[0].length;this.pxCount = (this.imgWidth * this.imgHeight);}public boolean[][] getIgnorePx(){return this.ignorePx;}public void setIgnorePx(boolean[][] ignorePx){this.ignorePx = ignorePx;}public int getImgWidth(){return this.imgWidth;}public int getImgHeight(){return this.imgHeight;}public int getPxCount(){return this.pxCount;}
}

Image.java

import java.awt.Color;
import java.awt.Dimension;
import java.awt.Font;
import java.awt.Graphics;
import java.awt.Rectangle;
import java.awt.Robot;
import java.awt.Toolkit;
import java.awt.datatransfer.Clipboard;
import java.awt.datatransfer.StringSelection;
import java.awt.datatransfer.Transferable;
import java.awt.event.InputEvent;
import java.awt.event.KeyEvent;
import java.awt.image.BufferedImage;
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.InputStream;
import java.io.OutputStream;
import java.util.List;
import java.util.Random;import javax.imageio.ImageIO;/*** 测试类* @author Administrator**/
public class Image {private static int x=0;//横坐标private static int y=0;//纵坐标private static int b=1;public static void main(String[] args) throws Exception {if(!findImage4FullScreen(ImageCognition.SIM_ACCURATE_VERY)) {System.out.println("很抱歉...截图里没找到您想要搜索的图片呢！");}}}/** * 将字符串复制到剪切板。 */  public static void setSysClipboardText(String writeMe) {  Clipboard clip = Toolkit.getDefaultToolkit().getSystemClipboard();  Transferable tText = new StringSelection(writeMe);  clip.setContents(tText, null);  } public static Boolean findImage4FullScreen(int sim) throws Exception {Dimension screenSize = Toolkit.getDefaultToolkit().getScreenSize();int w = (int) screenSize.getWidth();//屏幕宽度int h=(int)screenSize.getHeight();//屏幕高度Robot robot = new Robot();//截屏操作BufferedImage screenImg = robot.createScreenCapture(new Rectangle(0, 0,w, h));OutputStream out = new FileOutputStream("D:\\data\\image/screen.png");ImageIO.write(screenImg, "png", out);//将截到的BufferedImage写到本地InputStream in = new FileInputStream("D:\\data\\image/search.png");BufferedImage searchImg = ImageIO.read(in);//将要查找的本地图读到BufferedImage//图片识别工具类ImageCognition ic = new ImageCognition();List<CoordBean> list = ic.imageSearch(screenImg, searchImg, sim);for (CoordBean coordBean : list) {System.out.println("找到您要的图片了,它的坐标是" +"(" +coordBean.getX() + ","+ coordBean.getY()+")");//标注找到的图的位置Graphics g = screenImg.getGraphics();g.setColor(Color.BLACK);g.drawRect(coordBean.getX(), coordBean.getY(),searchImg.getWidth(), searchImg.getHeight());g.setFont(new Font(null, Font.BOLD, 20));g.drawString("←找到的图片在这里哦！",coordBean.getX() + searchImg.getWidth() + 5,coordBean.getY() + 10 + searchImg.getHeight() / 2);out = new FileOutputStream("D:\\data\\image/result.png");ImageIO.write(screenImg, "png", out);x=coordBean.getX() ;y=coordBean.getY();return true;}return false;}
}

测试方法：

在上图的路径分别截屏小图，就是屏幕的某一个位置的小图，名为search.png
再截全屏，名为screen.png，然后运行一下Image .java，就会生成一个result.png啦！

3.那么问题来了，怎么实现识别验证码并自动提交？

把代码整合起来就好啦！

打字有点累…休息下…

（1）先来说说如何模拟鼠标动作吧！

Robot robot = new Robot();
robot.delay(100);
robot.mouseMove(x+20, y+20);//鼠标移动到该坐标
robot.delay(100);
//鼠标点击
robot.mousePress(InputEvent.BUTTON1_DOWN_MASK);
robot.delay(100);
//鼠标释放
robot.mouseRelease(InputEvent.BUTTON1_DOWN_MASK);

（2）怎么把一个字符串复制到电脑的剪贴板上呢？

 /** * 将字符串复制到剪切板。 */  public static void setSysClipboardText(String writeMe) {  Clipboard clip = Toolkit.getDefaultToolkit().getSystemClipboard();  Transferable tText = new StringSelection(writeMe);  clip.setContents(tText, null);  }

（3）又怎么模拟键盘动作呢粘贴字符串？

 robot.keyPress(KeyEvent.VK_CONTROL);robot.keyPress(KeyEvent.VK_V);robot.delay(10);robot.keyRelease(KeyEvent.VK_CONTROL);robot.keyRelease(KeyEvent.VK_V);robot.keyPress(KeyEvent.VK_ENTER);robot.delay(10);robot.keyRelease(KeyEvent.VK_ENTER);

（4）全部的代码整合：

1.留下以下这些类，把刚才的Image .java删掉，它已经没有价值了。

2.修改Check.java

import java.awt.Color;
import java.awt.Dimension;
import java.awt.Font;
import java.awt.Graphics;
import java.awt.Rectangle;
import java.awt.Robot;
import java.awt.Toolkit;
import java.awt.datatransfer.Clipboard;
import java.awt.datatransfer.StringSelection;
import java.awt.datatransfer.Transferable;
import java.awt.event.InputEvent;
import java.awt.event.KeyEvent;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import java.net.URI;
import java.net.URISyntaxException;
import java.util.List;
import java.util.Random;
import javax.imageio.ImageIO;
import org.apache.http.client.HttpClient;
import org.apache.http.client.config.CookieSpecs;
import org.apache.http.client.config.RequestConfig;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpGet;
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.DefaultHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;
/*** 测试类* @author Administrator**/@SuppressWarnings("deprecation")        //https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic
public class Check {private static final String POST_URL = "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic?access_token=" + AuthService.getAuth();private static int x=0;//横坐标private static int y=0;//纵坐标private static String result1[]=new String[1000];/*** 识别本地图片的文字** @param path 本地图片地址* @return 识别结果，为json格式* @throws URISyntaxException URI打开异常* @throws IOException        io流异常*/public static String checkFile(String path) throws URISyntaxException, IOException {File file = new File(path);if (!file.exists()) {throw new NullPointerException("图片不存在");}String image = BaseImg64.getImageStrFromPath(path);String param = "image=" + image;return post(param);}/*** @param url 图片url* @return 识别结果，为json格式*/public static String checkUrl(String url) throws IOException, URISyntaxException {String param = "url=" + url;return post(param);}/*** 通过传递参数：url和image进行文字识别** @param param 区分是url还是image识别* @return 识别结果* @throws URISyntaxException URI打开异常* @throws IOException        IO流异常*/private static String post(String param) throws URISyntaxException, IOException {//开始搭建post请求URI url = new URI(POST_URL);RequestConfig globalConfig = RequestConfig.custom().setCookieSpec(CookieSpecs.IGNORE_COOKIES).build();  CloseableHttpClient client = HttpClients.custom().setDefaultRequestConfig(globalConfig).build();  HttpGet request = new HttpGet(url);  HttpClient httpClient = new DefaultHttpClient();HttpPost post = new HttpPost();post.setURI(url);//设置请求头，请求头必须为application/x-www-form-urlencoded，因为是传递一个很长的字符串，不能分段发送post.setHeader("Content-Type", "application/x-www-form-urlencoded");StringEntity entity = new StringEntity(param);post.setEntity(entity);CloseableHttpResponse response = client.execute(post);// HttpResponse response = httpClient.execute(post);//  System.out.println(response.toString());if (response.getStatusLine().getStatusCode() == 200) {String str;try {/*读取服务器返回过来的json字符串数据*/str = EntityUtils.toString(response.getEntity());//对读取到的字符串进行切割String []result=str.split(":");result1 = result[4].split("\"");// System.out.println(result1[1]);//验证码结果//  System.out.println(str);return str;} catch (Exception e) {e.printStackTrace();return null;}}return null;         }public static void main(String[] args) throws Exception {String  path1 = "D:\\data\\image\\wjc.png";try {long now = System.currentTimeMillis();/*** 1.在check之前，要先对验证码截图保存，再截全屏对比得到验证码的坐标，从而之后才能不停地对验证码进行截图，我就不做示范了！* 2.假装验证码的图片是每一次都不一样的，然后去实现自动填写提交。* 3.找验证码坐标的原理是和找提交框、提交按钮等一样的，模仿即可！！！*/checkFile(path1);// checkUrl("https://images0.cnblogs.com/blog/508489/201505/101311124074020.png");System.out.println("耗时：" + (System.currentTimeMillis() - now) / 1000 + "s");} catch (URISyntaxException | IOException e) {e.printStackTrace();}if(!findImage4FullScreen(ImageCognition.SIM_ACCURATE_VERY)) {System.out.println("很抱歉...截图里没找到您想要搜索的图片呢！");}else {Robot robot = new Robot();Random random = new Random();int a = 0;robot.delay(100);robot.mouseMove(x+30, y+30);//鼠标移动到该坐标a = Math.abs(random.nextInt())%100+50;robot.delay(a);//鼠标点击robot.mousePress(InputEvent.BUTTON1_DOWN_MASK);a = Math.abs(random.nextInt())%50+50;robot.delay(a);robot.mouseRelease(InputEvent.BUTTON1_DOWN_MASK);String res=result1[1].toString();System.out.println(res);setSysClipboardText(res);robot.keyPress(KeyEvent.VK_CONTROL);robot.keyPress(KeyEvent.VK_V);robot.delay(10);robot.keyRelease(KeyEvent.VK_CONTROL);robot.keyRelease(KeyEvent.VK_V);robot.keyPress(KeyEvent.VK_ENTER);robot.delay(10);robot.keyRelease(KeyEvent.VK_ENTER);}}/** * 将字符串复制到剪切板。 */  public static void setSysClipboardText(String writeMe) {  Clipboard clip = Toolkit.getDefaultToolkit().getSystemClipboard();  Transferable tText = new StringSelection(writeMe);  clip.setContents(tText, null);  } /*** 大图找小图    * @param sim* @return* @throws Exception*/public static Boolean findImage4FullScreen(int sim) throws Exception {Dimension screenSize = Toolkit.getDefaultToolkit().getScreenSize();int w = (int) screenSize.getWidth();//屏幕宽度int h=(int)screenSize.getHeight();//屏幕高度Robot robot = new Robot();//截屏操作BufferedImage screenImg = robot.createScreenCapture(new Rectangle(0, 0,w, h));OutputStream out = new FileOutputStream("D:\\data\\image\\screen.png");ImageIO.write(screenImg, "png", out);//将截到的BufferedImage写到本地InputStream in = new FileInputStream("D:\\data\\image\\search.png");BufferedImage searchImg = ImageIO.read(in);//将要查找的本地图读到BufferedImage//图片识别工具类ImageCognition ic = new ImageCognition();List<CoordBean> list = ic.imageSearch(screenImg, searchImg, sim);for (CoordBean coordBean : list) {System.out.println("找到图片了,它的坐标是" +"(" +coordBean.getX() + ","+ coordBean.getY()+")");//标注找到的图的位置Graphics g = screenImg.getGraphics();g.setColor(Color.BLACK);g.drawRect(coordBean.getX(), coordBean.getY(),searchImg.getWidth(), searchImg.getHeight());g.setFont(new Font(null, Font.BOLD, 20));g.drawString("←找到的图片在这里",coordBean.getX() + searchImg.getWidth() + 5,coordBean.getY() + 10 + searchImg.getHeight() / 2);out = new FileOutputStream("D:\\data\\image\\result.png");ImageIO.write(screenImg, "png", out);x=coordBean.getX() ;y=coordBean.getY();return true;}return false;}}

（5）关于整合代码之后怎么测试？

这个也很好测试，可以在桌面新建个TXT文档，根据我以上的思路，让它自己写东西，很好很好…

有不懂的可以留言。

java实现自动识别验证码并自动填写提交（调用百度通用文字识别OCR接口+大图找小图之图像识别算法+模拟鼠标键盘动作）相关推荐

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