本文为大家分享了java实现百度云OCR识别的具体代码，高精度OCR识别身份证信息，供大家参考，具体内容如下
1.通用OCR文字识别
这种OCR只能按照识别图片中的文字，且是按照行识别返回结果，精度较低。
首先引入依赖包：
com.baidu.aip java-sdk4.6.0
通过OCR工具类：
package util;
import com.baidu.aip.ocr.AipOcr;
import org.json.JSONObject;
import java.util.HashMap;
public class OcrApi {
private static final String APP_ID = "你的 App ID";
private static final String API_KEY = "Xb12m5t4jS2n7";
private static final String SECRET_KEY = "9XVx9GPcSbSUTZ";
private static AipOcr getAipClient() {
return getAipClient(API_KEY, SECRET_KEY);
}
public static AipOcr getAipClient(String apiKey, String secretKey) {
AipOcr client = new AipOcr(APP_ID, apiKey, secretKey);
// 可选：设置网络连接参数
client.setConnectionTimeoutInMillis(2000);
client.setSocketTimeoutInMillis(60000);
return client;
}
public static String result(AipOcr client) {
// 传入可选参数调用接口
HashMap options = new HashMap<>();
options.put("language_type", "CHN_ENG");
options.put("detect_direction", "true");
options.put("detect_language", "true");
options.put("probability", "true");
JSonObject res = client.basicGeneralUrl(
"https://lichunyu1234.oss-cn-shanghai.aliyuncs.com/1.png", options);
return res.toString(2);
}
public static void main(String[] args) {
System.out.println(result(getAipClient()));
}
}
结果如下，识别有两行信息（words即是识别的信息）：
2.高精度OCR识别身份证信息
这种就比较高精度，且按照分类显示，返回数据更友好，高可用。
2.1 接口说明及请求参数是地址官方截图如下：
2.2 OCR身份证识别工具类
package util;
import com.alibaba.druid.util.base64;
import com.alibaba.fastjson.JSONObject;
import java.io.*;
import java.net.*;
import java.nio.charset.StandardCharsets;
import java.util.List;
import java.util.Map;
public class OcrUtil {
// Access_Token获取
private static final String ACCESS_TOKEN_HOST = "https://aip.baidubce.com/oauth/2.0/token?";
// 身份证识别请求URL
private static final String OCR_HOST = "https://aip.baidubce.com/rest/2.0/ocr/v1/idcard?";
// apiKey,secretKey
private static final String API_KEY ="Xb12m5t4jS";
private static final String SECRET_KEY = "9XVx9GPcSbSUT";
// 获取百度云OCR的授权access_token
public static String getAccessToken() {
return getAccessToken(API_KEY, SECRET_KEY);
}
public static String getAccessToken(String apiKey, String secretKey) {
String accessTokenURL = ACCESS_TOKEN_HOST
// 1. grant_type为固定参数
+ "grant_type=client_credentials"
// 2. 官网获取的 API Key
+ "&client_id=" + apiKey
// 3. 官网获取的 Secret Key
+ "&client_secret=" + secretKey;
try {
URL url = new URL(accessTokenURL);
// 打开和URL之间的连接
HttpURLConnection connection = (HttpURLConnection) url.openConnection();
connection.setRequestMethod("GET");
connection.connect();
// 获取响应头
Map> 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 bufferedReader = new BufferedReader(new InputStreamReader(connection.getInputStream()));
StringBuilder result = new StringBuilder();
String inputLine;
while ((inputLine = bufferedReader.readLine()) != null) {
result.append(inputLine);
}
JSonObject jsonObject = JSONObject.parseObject(result.toString());
return jsonObject.getString("access_token");
} catch (Exception e) {
e.printStackTrace();
System.err.print("获取access_token失败");
}
return null;
}
public static String getStringIdentityCard(File imageUrl, String idCardSide) {
// 身份证OCR的http URL+鉴权token
String OCRUrl = OCR_HOST+"access_token="+getAccessToken();
System.out.println(OCRUrl);
System.out.println("***************************************************");
System.out.println(getAccessToken());
// 对图片进行base64处理
String image = encodeImageTobase64(imageUrl);
// 请求参数
String requestParam = "detect_direction=true&id_card_side="+idCardSide+"&image="+image;
try {
// 请求OCR地址
URL url = new URL(OCRUrl);
HttpURLConnection connection = (HttpURLConnection) url.openConnection();
// 设置请求方法为POST
connection.setRequestMethod("POST");
// 设置请求头
connection.setRequestProperty("Content-Type", "application/x-www-form-urlencoded");
connection.setRequestProperty("apiKey", API_KEY);
connection.setDoOutput(true);
connection.getOutputStream().write(requestParam.getBytes(StandardCharsets.UTF_8));
connection.connect();
// 定义 BufferedReader输入流来读取URL的响应
BufferedReader bufferedReader = new BufferedReader(new InputStreamReader(connection.getInputStream(), StandardCharsets.UTF_8));
StringBuilder result = new StringBuilder();
String inputLine;
while ((inputLine = bufferedReader.readLine()) != null) {
result.append(inputLine);
}
bufferedReader.close();
return result.toString();
} catch (Exception e) {
e.printStackTrace();
System.err.println("身份证OCR识别异常");
return null;
}
}
public static String encodeImageTobase64(File imageUrl) {
// 将图片文件转化为字节数组字符串，并对其进行base64编码处理
byte[] data = null;
try {
InputStream inputStream = new FileInputStream(imageUrl);
data = new byte[inputStream.available()];
inputStream.read(data);
inputStream.close();
// 对字节数组base64编码
return URLEncoder.encode(base64.byteArrayTobase64(data), "UTF-8");
} catch (Exception e) {
e.printStackTrace();
return null;
}
}
public static Map getIdCardInfo(MultipartFile image, int idCardSide) {
String value = getStringIdentityCard(image, idCardSide);
String side;
if (idCardSide == 1) {
side = "正面";
}else {
side = "背面";
}
Map map = new HashMap<>();
JSonObject jsonObject = JSONObject.parseObject(value);
JSonObject words_result = jsonObject.getJSonObject("words_result");
if (words_result == null || words_result.isEmpty()) {
throw new MyException("请提供身份证"+side+"图片");
}
for (String key : words_result.keySet()) {
JSonObject result = words_result.getJSonObject(key);
String info = result.getString("words");
switch (key) {
case "姓名":
map.put("name", info);
break;
case "性别":
map.put("sex", info);
break;
case "民族":
map.put("nation", info);
break;
case "出生":
map.put("birthday", info);
break;
case "住址":
map.put("address", info);
break;
case "公民身份号码":
map.put("idNumber", info);
break;
case "签发机关":
map.put("issuedOrganization", info);
break;
case "签发日期":
map.put("issuedAt", info);
break;
case "失效日期":
map.put("expiredAt", info);
break;
}
}
return map;
}
}
官方返回示例：
对于身份证识别有个大坑：
1.有的base64编码后有头部“base64：”要去掉，阿里巴巴的base64可以正常使用。
2.OCR识别官方只说明图片要base64编码，但是实际上还是要再UrlEncode再编码一次才可以。
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持考高分网。
