OCR识别

最近作者项目中用到了身份证识别跟营业执照的OCR识别，就研究了一下百度云跟腾讯云的OCR产品接口。

1.腾讯云OCR

 

收费：身份证OCR和营业执照OCR接口，每个接口每个月各有1000次的免费调用

接口说明：

*
身份证OCR接口 <https://cloud.tencent.com/document/product/866/33524> - 

https://cloud.tencent.com/document/product/866/33524

*
营业执照OCR接口- <https://cloud.tencent.com/document/product/866/17598>

https://cloud.tencent.com/document/product/866/17598

 

身份证-OCR接入

*
引入腾讯的SDK及JSON
<dependency> <groupId>com.tencentcloudapi</groupId>
<artifactId>tencentcloud-sdk-java</artifactId> <version>3.0.58</version>
</dependency> <dependency> <groupId>net.sf.json-lib</groupId>
<artifactId>json-lib</artifactId> <version>2.4</version>
<classifier>jdk15</classifier> </dependency>
　　2.前端html代码
<form action="/ocr/uploadFile" method="POST" enctype="multipart/form-data"> <
inputtype="file" name="file"> <br /> <input type="radio" name="card_side" value
="FRONT"> 正面        <input type="radio" name
="card_side" value="BACK"> 反面 <br /> <input type="submit" value="提交"> </form>
　　3.后端代码
@PostMapping("uploadFile") @ResponseBody public IDCardOCRResponse
OCRIdCardTest(@RequestParam(value = "file") MultipartFile
file,@RequestParam(value = "card_side") String cardSize,Model model){ try {
Credential cred= new Credential("AKIDGQfhYTqEs0DMvUQH93wXKsIX",
"7adThzEEH6mK6zg9MMwX0"); HttpProfile httpProfile = new HttpProfile();
httpProfile.setEndpoint("ocr.tencentcloudapi.com"); ClientProfile clientProfile
=new ClientProfile(); clientProfile.setHttpProfile(httpProfile); OcrClient
client= new OcrClient(cred, "ap-beijing", clientProfile); Map<String, String>
params =new HashMap<>(); params.put("ImageBase64",
getBase64FromInputStream(file.getInputStream())); params.put("CardSide",
cardSize); System.out.println(getBase64FromInputStream(file.getInputStream()));
IDCardOCRRequest req=
IDCardOCRRequest.fromJsonString(JSONObject.fromObject(params).toString(),
IDCardOCRRequest.class); IDCardOCRResponse resp = client.IDCardOCR(req); return
resp; }catch (Exception e) { // TODO: handle exception e.printStackTrace(); }
return null; }
说明：new Credential("secretId","secretKey"),这两个参数在腾讯云控制台申请

　　4.getBase64FromInputStream代码，把MultipartFile 转为base64
public static String getBase64FromInputStream(InputStream in) { //
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; // 读取图片字节数组 try {
ByteArrayOutputStream swapStream= new ByteArrayOutputStream(); byte[] buff = new
byte[100]; int rc = 0; while ((rc = in.read(buff, 0, 100)) > 0) {
swapStream.write(buff,0, rc); } data = swapStream.toByteArray(); } catch
(IOException e) { e.printStackTrace(); }finally { if (in != null) { try {
in.close(); }catch (IOException e) { e.printStackTrace(); } } } return new
String(Base64.encodeBase64(data)); }
 

运行前端html码，选择身份证图片，点击提交就可以返回身份证的信息了。

营业执照-OCR

1.前端html代码
<form action="/ocr/bizlicense" method="POST" enctype="multipart/form-data"> <
inputtype="file" name="file"> <br /> <input type="submit" value="提交"> </form>
 

2.后端代码
@PostMapping("bizlicense") @ResponseBody public String
OCRBizlicenseTest(@RequestParam(value = "file") MultipartFile file)throws
Exception{ RestTemplate restTemplate= new RestTemplate(); String apiUrl
="https://recognition.image.myqcloud.com/ocr/bizlicense"; HttpHeaders headers =
new HttpHeaders(); headers.set("host", "recognition.image.myqcloud.com");
headers.set("content-type", "application/json"); String authorization
=QQOCRSignUtils.appSign(XXXX, "AKIDGQfhYTqEs0DXXX", "7adThzEEH6mKXXX", "", 10L
); headers.set("authorization",authorization ); JSONObject params = new
JSONObject(); params.put("appid", "XXX"); params.put("image",
getBase64FromInputStream(file.getInputStream())); HttpEntity<JSONObject> entity
=new HttpEntity<JSONObject>(params, headers); HttpEntity<String> response =
restTemplate.postForEntity(apiUrl, entity, String.class); return
response.getBody(); }
 

3.QQOCRSignUtils.appSign
/** * 生成 Authorization 签名字段 * * @param appId * @param secretId * @param
secretKey *@param bucketName * @param expired * @return * @throws Exception */
public static String appSign(long appId, String secretId, String secretKey,
String bucketName,long expired) throws Exception { long now =
System.currentTimeMillis() / 1000; int rdm = Math.abs(new Random().nextInt());
String plainText= String.format("a=%d&b=%s&k=%s&t=%d&e=%d&r=%d", appId,
bucketName, secretId, now, now+ expired, rdm); byte[] hmacDigest =
HmacSha1(plainText, secretKey);byte[] signContent = new byte[hmacDigest.length +
plainText.getBytes().length]; System.arraycopy(hmacDigest,0, signContent, 0,
hmacDigest.length); System.arraycopy(plainText.getBytes(),0, signContent,
hmacDigest.length, plainText.getBytes().length);return
Base64Encode(signContent); }
运行前端html码，选择营业执照图片，点击提交就可以返回营业执照的信息了。

2.百度OCR

通过以下步骤创建OCR应用，作者当时在这一步花了很长时间





 

 

创建完之后就可以拿到appId，API Key，Secret Key，就可以调用百度提供的api了

收费：身份证OCR和营业执照OCR接口，每个接口每天各有500次的免费调用

接口说明：

*
身份证OCR接口
<https://cloud.baidu.com/doc/OCR/OCR-API.html#.E8.BA.AB.E4.BB.BD.E8.AF.81.E8.AF.86.E5.88.AB>
- 


https://cloud.baidu.com/doc/OCR/OCR-API.html#.E8.BA.AB.E4.BB.BD.E8.AF.81.E8.AF.86.E5.88.AB

*
营业执照OCR接口-
<https://cloud.baidu.com/doc/OCR/OCR-API.html#.E8.90.A5.E4.B8.9A.E6.89.A7.E7.85.A7.E8.AF.86.E5.88.AB>


https://cloud.baidu.com/doc/OCR/OCR-API.html#.E8.90.A5.E4.B8.9A.E6.89.A7.E7.85.A7.E8.AF.86.E5.88.AB

 

身份证OCR 

只列出后端的代码，前端代码跟腾讯的一样，只不过前后面身份证枚举值不一样，参考接口文档说明。
@PostMapping("ocridcard") @ResponseBody public String
OCRIdCardTest(@RequestParam(value = "file") MultipartFile
file,@RequestParam(value = "card_side") String cardSize,Model model){ try {
RestTemplate restTemplate= new RestTemplate(); HttpEntity<String> response =
restTemplate.postForEntity("https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=XXXXXX&client_secret=XXXXXX",
null,String.class); JSONObject jsonObject =
JSONObject.fromObject(response.getBody());
System.out.println(response.getBody()); String accessToken=
jsonObject.getString("access_token"); String apiUrl
="https://aip.baidubce.com/rest/2.0/ocr/v1/idcard?access_token="+accessToken;
HttpHeaders headers= new HttpHeaders(); headers.set("content-type",
"application/x-www-form-urlencoded"); MultiValueMap<String, Object> params = new
LinkedMultiValueMap<>(); params.add("detect_direction", "true"); params.add(
"id_card_side", cardSize); params.add("image",
Base64Utils.getBase64FromInputStream(file.getInputStream())); params.add(
"detect_risk", "true");
System.out.println(Base64Utils.getBase64FromInputStream(file.getInputStream()));
System.out.println(URLDecoder.decode(URLEncoder.encode(Base64Utils.getBase64FromInputStream(file.getInputStream()),
"UTF-8"),"UTF-8")); HttpEntity<MultiValueMap<String, Object>> entity = new
HttpEntity<>(params, headers); response = restTemplate.postForEntity(apiUrl,
entity, String.class); return response.getBody(); } catch (Exception e) { //
TODO: handle exception e.printStackTrace(); } return null; }
营业执照OCR
@PostMapping("ocrbusinesslicense") @ResponseBody public String
OCRBusinessLicenseTest(@RequestParam(value = "file") MultipartFile file,Model
model){try { RestTemplate restTemplate = new RestTemplate(); HttpEntity<String>
response =
restTemplate.postForEntity("https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=XXXXX&client_secret=XXXXXX",
null,String.class); JSONObject jsonObject =
JSONObject.fromObject(response.getBody());
System.out.println(response.getBody()); String accessToken=
jsonObject.getString("access_token"); String apiUrl
="https://aip.baidubce.com/rest/2.0/ocr/v1/business_license?access_token="+
accessToken; HttpHeaders headers= new HttpHeaders(); headers.set(
"content-type", "application/x-www-form-urlencoded"); MultiValueMap<String,
Object> params =new LinkedMultiValueMap<>(); params.add("detect_direction",
"true"); params.add("image",
Base64Utils.getBase64FromInputStream(file.getInputStream()));
System.out.println(Base64Utils.getBase64FromInputStream(file.getInputStream()));
System.out.println(URLDecoder.decode(URLEncoder.encode(Base64Utils.getBase64FromInputStream(file.getInputStream()),
"UTF-8"),"UTF-8")); HttpEntity<MultiValueMap<String, Object>> entity = new
HttpEntity<>(params, headers); response = restTemplate.postForEntity(apiUrl,
entity, String.class); return response.getBody(); } catch (Exception e) { //
TODO: handle exception e.printStackTrace(); } return null; }
 
作者：Eric.Chen <https://www.cnblogs.com/lc-chenlong/>
出处：https://www.cnblogs.com/lc-chenlong <https://www.cnblogs.com/lc-chenlong/>
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