百度ocr需要先申请APPID，API_KEY和SECRET_KEY。

首先用一个工厂模式来构建AipOcr；

代码如下：

public class BDFactory {private static AipOcr aipOcr;public static AipOcr getAipOcr(){if(aipOcr==null){synchronized (AipOcr.class) {if(aipOcr==null){aipOcr = new AipOcr(AIConstant.BD_OCR_APPID, AIConstant.BD_OCR_APPKEY, AIConstant.BD_OCR_SECRETKEY);}}}return aipOcr;}
}

AipOcr的一些常用方法：

1.通用文字识别

 //通用文字识别public static  String basicGeneral (String file){HashMap<String,String> options = new HashMap<>(4);options.put("language_type", "CHN_ENG");options.put("detect_direction", "true"); // 检测图片朝上options.put("detect_language", "true");  // 检测语言,默认是不检查options.put("probability", "true");   //是否返回识别结果中每一行的置信度JSONObject jsonObject = aipOcr.basicGeneral(file, options);return jsonObject.toString();

请求结果实例：

 String result = basicGeneral("D:\\test.jpg");{"log_id":23564476787080234428,"wordsResult":[{"probability":{"average":0.968971,"min":0.955538,"variance":1.8E-4},"words":"目录"},{"probability":{"average":0.871825,"min":0.744326,"variance":0.016256},"words":"可能你可能"}],"words_result_num":2,"language":-1,"direction":0}

2.高精度通用文字识别

public static  JSONObject basicAccurateGeneral (String file) {HashMap<String,String> options = new HashMap<>(4);options.put("language_type", "CHN_ENG");options.put("detect_direction", "true"); // 检测图片朝上options.put("detect_language", "true");  // 检测语言,默认是不检查options.put("probability", "true");   //是否返回识别结果中每一行的置信度
//方式一JSONObject jsonObject = aipOcr.basicAccurateGeneral(file, options);//或者是传url
//方式二byte[] bytes = new byte[0];try {bytes = FileCopyUtils.copyToByteArray(new FileInputStream(file));} catch (IOException e) {e.printStackTrace();}return   aipOcr.basicAccurateGeneral(bytes, options);}

请求结果实例：

  //高精度版
JSONObject result = basicAccurateGeneral("D:\\Test2.jpeg");String s = result.toString();{"log_id":76589744465573053,"wordsResult":[{"probability":{"average":0.985876,"min":0.940408,"variance":4.62E-4},"words":"克隆可怜和"},{"probability":{"average":0.999704,"min":0.99927,"variance":0},"words":"科技馆黄金矿工"},{"probability":{"average":0.996163,"min":0.964984,"variance":7.3E-5},"words":"也发个黄金还是集合春节后技能"},{"probability":{"average":0.993361,"min":0.960509,"variance":1.84E-4},"words":"公交卡高科技"},{"probability":{"average":0.989808,"min":0.951065,"variance":3.72E-4},"words":"号流量计欧普偶皮"}],"words_result_num":5,"language":-1,"direction":0}

3.含地理位置的通用文字识别

//含位置信息的通用文字识别
public static JSONObject general (String file) {HashMap<String,String> options = new HashMap<>();options.put("language_type", "CHN_ENG");options.put("detect_direction", "true"); // 检测图片朝上options.put("vertexes_location", "true");options.put("recognize_granularity", "big");options.put("detect_language", "true");  // 检测语言,默认是不检查options.put("probability", "true");   //是否返回识别结果中每一行的置信度// JSONObject jsonObject = aipOcr.basicAccurateGeneral(file, options);  或者是传urlbyte[] bytes = new byte[0];try {bytes = FileCopyUtils.copyToByteArray(new FileInputStream(file));} catch (IOException e) {e.printStackTrace();}return aipOcr.general(bytes, options);
}

请求结果实例：

JSONObject jsonObject = general("D:\\Test3.jpg");{"log_id":456353476587574564675,"words_result":[{"probability":{"average":0.955421,"min":0.81863,"variance":0.004858},"words":"将很反感几号放假"},{"probability":{"average":0.887704,"min":0.364053,"variance":0.054941},"words":"规划局发过火发"},{"probability":{"average":0.357126,"min":0.599519,"variance":0.015032},"words":"33"},{"probability":{"average":0.764071,"min":0.764071,"variance":0},"words":"i"}],
"words_result_num":4,"language":-1,"direction":0}

4.含位置信息的高精度识别

public static JSONObject enhancedGeneral (String file) {HashMap<String,String> options = new HashMap<>(6);options.put("language_type", "CHN_ENG");options.put("detect_direction", "true");options.put("detect_language", "true");options.put("probability", "true");// JSONObject jsonObject = aipOcr.basicAccurateGeneral(file, options);  或者是传urlbyte[] bytes = new byte[0];try {bytes = Util.readFileByBytes(file);} catch (IOException e) {e.printStackTrace();}
//含繁体字版本//JSONObject jsonObject = aipOcr.enhancedGeneral(bytes, options);JSONObject jsonObject = enhancedGeneral("D:\\test4.jpg");return jsonObject;
}

5.身份证识别

// 身份证识别
public static JSONObject idCard (String file,String side) {HashMap<String,String> options = new HashMap<>(6);options.put("detect_direction", "true");
//是否开启身份证风险类型(身份证复印件、临时身份证、身份证翻拍、修改过的身份证)功能，默认不开启，即：false。可选值:true-开启；false-不开启
options.put("detect_risk", "true");// JSONObject jsonObject = aipOcr.basicAccurateGeneral(file, options);  或者是传urlbyte[] bytes = new byte[0];try {bytes = Util.readFileByBytes(file);} catch (IOException e) {e.printStackTrace();}
//side:front正面 ；back背面JSONObject jsonObject = aipOcrJava.idcard(bytes, side,options);return jsonObject;
}

结果实例：

 JSONObject front = idCard("D:\\card.jpg", "front");{"log_id":**********************,"words_result": 
{"姓名":{"words":"***","location":{"top":444,"left":138,"width":172,"height":63}}, "民族":{"words":"汉","location":{"top":574,"left":419,"width":36,"height":44}}, 
"住址":{"words":"****************","location":{"top":788,"left":125,"width":568,"height":130}}, 
"公民身份号码":{"words":"************00122","location":{"top":1045,"left":361,"width":707,"height":76}}, 
"出生":{"words":"******8","location":{"top":0,"left":0,"width":0,"height":0}}, 
"性别":{"words":"男","location":{"top":0,"left":0,"width":0,"height":0}}},"words_result_num":6,"image_status":"normal","direction":0}//背面  "back"JSONObject back = idCard("D:\\card2.jpg","back");{"log_id":1473111127994119341,"words_result":{"失效日期":{"words":"20220502","location":{"top":1029,"left":732,"width":190,"height":42}},"签发机关":{"words":"***县公安局","location":{"top":945,"left":504,"width":236,"height":45}},"签发日期":{"words":"20120502","location":{"top":1037,"left":508,"width":198,"height":42}}},
"words_result_num":3,"image_status":"normal","direction":0}/*** 图像方向，当detect_direction=true时存在。*  -1:未定义，*  - 0:正向，*  - 1: 逆时针90度，*  - 2:逆时针180度，*  - 3:逆时针270度*/private Integer direction;/*** normal-识别正常* reversed_side-身份证正反面颠倒* non_idcard-上传的图片中不包含身份证* blurred-身份证模糊* other_type_card-其他类型证照* over_exposure-身份证关键字段反光或过曝* unknown-未知状态*/private String image_status;/*** 识别结果数，表示words_result的元素个数*/private Integer words_result_num;/*** normal-正常身份证；copy-复印件；temporary-临时身份证；screen-翻拍；unknow-其他未知情况*/private String risk_type;

6.银行卡识别

// 银行卡识别
public static JSONObject bankCard (String file) {HashMap<String,String> options = new HashMap<>(6);// JSONObject jsonObject = aipOcrJava.basicAccurateGeneral(file, options);  或者是传urlbyte[] bytes = new byte[0];try {bytes = Util.readFileByBytes(file);} catch (IOException e) {e.printStackTrace();}JSONObject jsonObject = aipOcr.bankcard(bytes,options);return jsonObject;
}

 //银行卡识别//bank_card_type   银行卡类型，0:不能识别; 1: 借记卡; 2: 信用卡{"result":{"bank_card_number":"621**********13","bank_card_type":1,"bank_name":"邮储银行"},"log_id":32564645765876708921}

7.驾驶证识别

//驾驶证识别
public static JSONObject drivingLicense (String file) {HashMap<String,String> options = new HashMap<>(6);options.put("detect_direction", "true");  //检查朝上// JSONObject jsonObject = aipOcr.basicAccurateGeneral(file, options);  或者是传urlbyte[] bytes = new byte[0];try {bytes = Util.readFileByBytes(file);} catch (IOException e) {e.printStackTrace();}JSONObject jsonObject = aipOcr.drivingLicense(bytes,options);return jsonObject;
}

结果：

  {"log_id":2986902282992381075,"words_result":{"姓名":{"words":"***"},"至":{"words":"20211124"},"证号":{"words":"5********"},"出生日期":{"words":"19921004"},"住址":{"words":"**********号"},"国籍":{"words":"中国"},"初次领证日期":{"words":"20151124"},"准驾车型":{"words":"C1"},"有效期限":{"words":"20151124"},"性别":{"words":"女"}},"words_result_num":10,"direction":-1}

8.行驶证识别

//行驶证 识别
public static JSONObject vehicleLicense (String file) {HashMap<String,String> options = new HashMap<>(6);options.put("detect_direction", "false");  //不检查朝上options.put("accuracy", "normal");//  normal 使用快速服务，1200ms左右时延；缺省或其它值使用高精度服务，1600ms左右时延// JSONObject jsonObject = aipOcr.basicAccurateGeneral(file, options);  或者是传urlbyte[] bytes = new byte[0];try {bytes = Util.readFileByBytes(file);} catch (IOException e) {e.printStackTrace();}JSONObject jsonObject = aipOcr.vehicleLicense(bytes,options);return jsonObject;
}

9.车牌识别

//车牌识别
public static JSONObject plateLicense (String file) {HashMap<String,String> options = new HashMap<>(6);options.put("multi_detect", "true");//是否检测多张车牌，默认为false，当置为true的时候可以对一张图片内的多张车牌进行识别// JSONObject jsonObject = aipOcr.basicAccurateGeneral(file, options);  或者是传urlbyte[] bytes = new byte[0];try {bytes = Util.readFileByBytes(file);} catch (IOException e) {e.printStackTrace();}JSONObject jsonObject = aipOcr.plateLicense(bytes,options);return jsonObject;
}

 //车牌识别{"log_id":5545684252572090954,"words_result":[{"number":"京A****","vertexes_location":[{"x":44,"y":106},{"x":243,"y":107},{"x":243,"y":172},{"x":44,"y":170}],"color":"blue","probability":[1,0.9999933242797852,0.9999986886978149,0.9999988079071045,0.9999998807907104,0.9999427795410156,0.9997766613960266]}]}

10.营业执照识别

// 营业执照识别
public static JSONObject businessLicense (String file) {HashMap<String,String> options = new HashMap<>(6);// JSONObject jsonObject = aipOcr.basicAccurateGeneral(file, options);  或者是传urlbyte[] bytes = new byte[0];try {bytes = Util.readFileByBytes(file);} catch (IOException e) {e.printStackTrace();}JSONObject jsonObject = aipOcr.businessLicense(bytes,options);return jsonObject;
}

11.自定义模板文字识别

//自定义模版文字识别
// 自定义模版文字识别，是针对百度官方没有推出相应的模版，但是当用户需要对某一类卡证/票据（如房产证、军官证、火车票等）进行结构化的提取内容时// 可以使用该产品快速制作模版，进行识别。public static JSONObject custom (String file) {HashMap<String,String> options = new HashMap<>(6);String templateSign = "Nsdax2424asaAS791823112"; //通用模板的 编号// JSONObject jsonObject = aipOcr.basicAccurateGeneral(file, options);  或者是传urlbyte[] bytes = new byte[0];try {bytes = Util.readFileByBytes(file);} catch (IOException e) {e.printStackTrace();}JSONObject jsonObject = aipOcr.custom(bytes,templateSign,options);return jsonObject;}