Home >Java >javaTutorial >Java-Baidu API image text recognition (supports English)
PS:
基于Java 1.8
版本控制:maven
使用之前需要获取对应的项目API_KEY,SECRET_KEY,这些参数在使用API的时候必须用到,用于生成access_token。
如何获取这些参数:在百度开发者中心申请一个“通用文字识别”项目,然后就可以获取到这些参数。
准备条件都完成了,现在开始进行图像识别了
<!-- https://mvnrepository.com/artifact/com.alibaba/fastjson --><dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>1.2.46</version></dependency><!-- https://mvnrepository.com/artifact/org.apache.httpcomponents/httpclient --><dependency> <groupId>org.apache.httpcomponents</groupId> <artifactId>httpclient</artifactId> <version>4.5.5</version></dependency>
package com.wsk.netty.check;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;/** * 获取token类 * * @Author : WuShukai * @Date :2018/2/12 10:04 */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 = "**"; // 官网获取的 Secret Key 更新为你注册的 String clientSecret = "**"; 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.err.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.err.println("result:" + result); JSONObject jsonObject = new JSONObject(result.toString()); return jsonObject.getString("access_token"); } catch (Exception e) { System.err.printf("获取token失败!"); e.printStackTrace(System.err); } return null; } public static void main(String[] args) { getAuth(); } }
package com.wsk.netty.check;import sun.misc.BASE64Encoder;import java.io.FileInputStream;import java.io.IOException;import java.io.InputStream;import java.net.URLEncoder;/** * 图片转化base64后再UrlEncode结果 * @Author : WuShukai * @Date :2018/2/12 10:43 */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 return URLEncoder.encode(encoder.encode(data)); } }
package com.wsk.netty.check;import org.apache.http.HttpResponse;import org.apache.http.client.HttpClient;import org.apache.http.client.methods.HttpPost;import org.apache.http.entity.StringEntity;import org.apache.http.impl.client.DefaultHttpClient;import org.apache.http.util.EntityUtils;import java.io.File;import java.io.IOException;import java.net.URI;import java.net.URISyntaxException;/** * 图像文字识别 * * @Author : WuShukai * @Date :2018/2/12 10:25 */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 HttpClient httpClient = new DefaultHttpClient(); HttpPost post = new HttpPost(); URI url = new URI(POST_URL); 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); 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()); System.out.println(str); return str; } catch (Exception e) { e.printStackTrace(); return null; } } return null; } public static void main(String[] args) { String path = "E:\\find.png"; try { long now = System.currentTimeMillis(); checkFile(path); checkUrl("https://gss3.bdstatic.com/-Po3dSag_xI4khGkpoWK1HF6hhy/baike/c0%3Dbaike80%2C5%2C5%2C80%2C26/sign=08c05c0e8444ebf8797c6c6db890bc4f/fc1f4134970a304e46bfc5f7d2c8a786c9175c19.jpg"); System.out.println("耗时:" + (System.currentTimeMillis() - now) / 1000 + "s"); } catch (URISyntaxException | IOException e) { e.printStackTrace(); } } }
这里是使用了Postman进行测试的,用IDEA控制台的话,返回的json不易读。
从这里可以看出,耗时是1s,虽然识别率高,但是结果还是有那么的一些差距,例如识别结果的第五列,只返回了“我是逊尼”,而原图片的很大串没有识别出来。
单识别英文的图片,效果还是比较满意的,耗时短,精准率高。
结果也是比较满意的。百度的识别还是要双击66666.
具体文档:http://ai.baidu.com/docs#/OCR-API/e1bd77f3
PS:
基于Java 1.8
版本控制:maven
使用之前需要获取对应的项目API_KEY,SECRET_KEY,这些参数在使用API的时候必须用到,用于生成access_token。
如何获取这些参数:在百度开发者中心申请一个“通用文字识别”项目,然后就可以获取到这些参数。
准备条件都完成了,现在开始进行图像识别了。
<!-- https://mvnrepository.com/artifact/com.alibaba/fastjson --><dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>1.2.46</version></dependency><!-- https://mvnrepository.com/artifact/org.apache.httpcomponents/httpclient --><dependency> <groupId>org.apache.httpcomponents</groupId> <artifactId>httpclient</artifactId> <version>4.5.5</version></dependency>
package com.wsk.netty.check;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;/** * 获取token类 * * @Author : WuShukai * @Date :2018/2/12 10:04 */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 = "**"; // 官网获取的 Secret Key 更新为你注册的 String clientSecret = "**"; 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.err.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.err.println("result:" + result); JSONObject jsonObject = new JSONObject(result.toString()); return jsonObject.getString("access_token"); } catch (Exception e) { System.err.printf("获取token失败!"); e.printStackTrace(System.err); } return null; } public static void main(String[] args) { getAuth(); } }
.
package com.wsk.netty.check;import sun.misc.BASE64Encoder;import java.io.FileInputStream;import java.io.IOException;import java.io.InputStream;import java.net.URLEncoder;/** * 图片转化base64后再UrlEncode结果 * @Author : WuShukai * @Date :2018/2/12 10:43 */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 return URLEncoder.encode(encoder.encode(data)); } }
.
package com.wsk.netty.check;import org.apache.http.HttpResponse;import org.apache.http.client.HttpClient;import org.apache.http.client.methods.HttpPost;import org.apache.http.entity.StringEntity;import org.apache.http.impl.client.DefaultHttpClient;import org.apache.http.util.EntityUtils;import java.io.File;import java.io.IOException;import java.net.URI;import java.net.URISyntaxException;/** * 图像文字识别 * * @Author : WuShukai * @Date :2018/2/12 10:25 */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 HttpClient httpClient = new DefaultHttpClient(); HttpPost post = new HttpPost(); URI url = new URI(POST_URL); 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); 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()); System.out.println(str); return str; } catch (Exception e) { e.printStackTrace(); return null; } } return null; } public static void main(String[] args) { String path = "E:\\find.png"; try { long now = System.currentTimeMillis(); checkFile(path); checkUrl("https://gss3.bdstatic.com/-Po3dSag_xI4khGkpoWK1HF6hhy/baike/c0%3Dbaike80%2C5%2C5%2C80%2C26/sign=08c05c0e8444ebf8797c6c6db890bc4f/fc1f4134970a304e46bfc5f7d2c8a786c9175c19.jpg"); System.out.println("耗时:" + (System.currentTimeMillis() - now) / 1000 + "s"); } catch (URISyntaxException | IOException e) { e.printStackTrace(); } } }
.
这里是使用了Postman进行测试的,用IDEA控制台的话,返回的json不易读。
从这里可以看出,耗时是1s,虽然识别率高,但是结果还是有那么的一些差距,例如识别结果的第五列,只返回了“我是逊尼”,而原图片的很大串没有识别出来。
单识别英文的图片,效果还是比较满意的,耗时短,精准率高。
结果也是比较满意的。
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