火车票识别
功能介绍
识别火车票中的文字信息,并以JSON格式返回识别的结构化结果。该接口的使用限制请参见约束与限制,详细使用指导请参见OCR服务使用简介章节。
如果图片中包含多张卡证票据,请调用智能分类识别服务。
约束与限制
- 只支持识别PNG、JPG、JPEG、BMP、TIFF格式图片。
- 图像各边的像素大小在15px到8192px之间。
- 图像中火车票区域有效占比超过25%。
- 支持图像中火车票任意角度的水平旋转。
- 支持少量扭曲,扭曲后图像中的火车票长宽比与实际火车票相差不超过10%。
- 铁路电子客票识别当前仅支持2024.11.01正式发行前的试行版式,版式如示例图1-2,2024.11.01正式发行版式即将支持!
调用方法
请参见如何调用API。
前提条件
在使用之前,需要您完成服务申请和认证鉴权,具体操作流程请参见开通服务和认证鉴权章节。
用户首次使用需要先申请开通。服务只需要开通一次即可,后面使用时无需再次申请。如未开通服务,调用服务时会提示ModelArts.4204报错,请在调用服务前先进入控制台开通服务,并注意开通服务区域与调用服务的区域保持一致。
URI
POST /v2/{project_id}/ocr/train-ticket
请求参数
参数 |
是否必选 |
参数类型 |
描述 |
---|---|---|---|
X-Auth-Token |
是 |
String |
用户Token。 用于获取操作API的权限。获取Token接口响应消息头中X-Subject-Token的值即为Token。 |
Content-Type |
是 |
String |
发送的实体的MIME类型,参数值为“application/json”。 |
Enterprise-Project-Id |
否 |
String |
企业项目ID。OCR支持通过企业项目管理(EPS)对不同用户组和用户的资源使用,进行分账。 获取方法:进入“企业项目管理”页面,单击企业项目名称,在企业项目详情页获取Enterprise-Project-Id(企业项目ID)。
企业项目创建步骤请参见用户指南。
说明:
创建企业项目后,在传参时,有以下三类场景。
|
参数 |
是否必选 |
参数类型 |
说明 |
---|---|---|---|
image |
否 |
String |
该参数与url二选一。 图片的Base64编码,要求Base64编码后大小不超过10MB。 图片最短边不小于15px,最长边不超过8192px,支持JPEG、JPG、PNG、BMP、TIFF格式。 图片Base64编码示例如/9j/4AAQSkZJRgABAg...,带有多余前缀会产生The image format is not supported报错。 |
url |
否 |
String |
该参数与image二选一。图片的url路径,目前支持:
说明:
|
return_text_location |
否 |
Boolean |
识别到的文字块的区域位置信息。可选值包括: true:返回各个文字块区域 false:不返回各个文字块区域 如果无该参数,系统默认不返回文字块区域。如果输入参数不是Boolean类型,则会报非法参数错误。 |
响应参数
根据识别的结果,可能有不同的HTTP响应状态码(status code)。例如,200表示API调用成功,400表示调用失败,详细的状态码和响应参数说明如下。
状态码: 200
参数 |
参数类型 |
描述 |
---|---|---|
result |
TrainTicketResult object |
识别结果。 调用失败时不返回此字段。 |
参数 |
参数类型 |
描述 |
归属 |
---|---|---|---|
ticket_id |
String |
火车票左上角的车票ID。 |
纸质火车票/新版退票 |
check_port |
String |
检票口信息。 |
纸质火车票/新版退票 |
train_number |
String |
车次。 |
纸质火车票/新版退票/电子发票 |
departure_station |
String |
始发站。 |
纸质火车票/新版退票/电子发票 |
destination_station |
String |
终点站。 |
纸质火车票/新版退票/电子发票 |
departure_station_en |
String |
始发站拼音。 |
纸质火车票/新版退票/电子发票 |
destination_station_en |
String |
终点站拼音。 |
纸质火车票/新版退票/电子发票 |
departure_time |
String |
开车时间。 |
纸质火车票/新版退票/电子发票 |
seat_number |
String |
座位号。 |
纸质火车票/新版退票/电子发票 |
ticket_price |
String |
票价。 |
纸质火车票/新版退票/电子发票 |
sale_method |
String |
售票方式。 |
纸质火车票/新版退票 |
seat_category |
String |
座位类别。 |
纸质火车票/新版退票/电子发票 |
ticket_changing |
String |
改签信息。 |
纸质火车票/新版退票 |
id_number |
String |
车票持有人的身份证号。 |
纸质火车票/新版退票/电子发票 |
name |
String |
车票持有人姓名。 |
纸质火车票/新版退票/电子发票 |
log_id |
String |
车票最下方的售票码。 |
纸质火车票/新版退票 |
sale_location |
String |
车票售票地点。 |
纸质火车票/新版退票 |
invoice_style |
String |
类型。包含以下几种类型:
|
共享字段 |
issue_date |
String |
开票时间。 |
电子发票 |
discount_mark |
String |
打折标识。 |
电子发票 |
serial_number |
String |
电子客票号。 |
电子发票 |
tax_amount |
String |
税金价格。 |
电子发票 |
tax_rate |
String |
税率。 |
电子发票 |
air_conditioning |
String |
是否是空调车厢。 |
电子发票 |
original_invoice_number |
String |
原发票号码。 |
电子发票 |
unified_social_credit_code |
String |
统一社会信用号码。 |
电子发票 |
buyer_name |
String |
购买方名称。 |
电子发票 |
total_amount_excluding_tax |
String |
不含税价格 |
电子发票 |
invoice_number |
String |
发票号码。 |
电子发票 |
seal_mark |
Boolean |
是否有印章,True表示有印章,False表示不含印章,字段默认为False。 |
旧版退票 |
title |
String |
标题。 |
旧版退票 |
area |
String |
地区。 |
旧版退票 |
receipt_number |
String |
收据编码。 |
旧版退票 |
amount_in_figures |
String |
小写票据金额。 |
旧版退票 |
amount_in_words |
String |
大写票据金额。 |
旧版退票 |
confidence |
Object |
字段的置信度,取值范围0~1。 置信度越大,本次识别的字段的可靠性越高,在统计意义上,置信度越大,准确率越高。 置信度由算法给出,不直接等价于字段的准确率。 |
共享字段 |
text_location |
Object |
对应所有在原图上识别到的字段位置信息,包含所有文字区域四个顶点的二维坐标(x,y)。采用图像坐标系,坐标原点为图片左上角,x轴沿水平方向,y轴沿竖直方向。 |
共享字段 |
状态码: 400
参数 |
参数类型 |
说明 |
---|---|---|
error_code |
String |
调用失败时的错误码,具体请参见错误码。 调用成功时不返回此字段。 |
error_msg |
String |
调用失败时返回的错误信息。 调用成功时不返回此字段。 |
请求示例
- 传入火车票图片的base64编码进行文字识别
POST https://{endpoint}/v2/{project_id}/ocr/train-ticket Request Header: Content-Type: application/json X-Auth-Token: MIINRwYJKoZIhvcNAQcCoIINODCCDTQCAQExDTALBglghkgBZQMEAgEwgguVBgkqhkiG... Request Body: { "image":"/9j/4AAQSkZJRgABAgEASABIAAD/4RFZRXhpZgAATU0AKgAAAA..." }
- 传入火车票图片的url进行文字识别
POST https://{endpoint}/v2/{project_id}/ocr/train-ticket Request Header: Content-Type: application/json X-Auth-Token: MIINRwYJKoZIhvcNAQcCoIINODCCDTQCAQExDTALBglghkgBZQMEAgEwgguVBgkqhkiG... Request Body: { "url":"https://BucketName.obs.xxxx.com/ObjectName" }
响应示例
状态码:200
成功响应示例
{ "result" : { "ticket_id" : "K090841", "check_port" : "B6", "train_number" : "G1138", "departure_station" : "长沙南站", "destination_station" : "武汉站", "departure_station_en" : "Changshanan", "destination_station_en" : "Wuhan", "departure_time" : "2017年12月12日20:39", "seat_number" : "03车03C号", "ticket_price" : "164.5元", "sale_method" : "网", "seat_category" : "二等座", "ticket_changing" : "No", "id_number" : "1402271998****0012", "name" : "xxx", "log_id" : "65818301991213K090841", "sale_location" : "长沙南售", "invoice_style" : "paper", "issue_date" : "", "discount_mark" : "", "serial_number" : "", "tax_amount" : "", "tax_rate" : "", "air_conditioning" : "", "original_invoice_number" : "", "unified_social_credit_code" : "", "buyer_name" : "", "total_amount_excluding_tax" : "", "invoice_number" : "", "seal_mark" : false, "title" : "", "area" : "", "receipt_number" : "", "amount_in_figures" : "", "amount_in_words" : "", "confidence" : { "ticket_id" : 0.9992, "check_port" : 0.9165, "train_number" : 0.9968, "starting_station" : 0.9982, "destination_station" : 0.9998, "starting_station_en" : 0.9254, "destination_station_en" : 0.9848, "starting_time" : 0.5141, "seat_number" : 0.9985, "ticket_rates" : 0.9977, "sale_method" : 0.9836, "seat_category" : 0.9958, "ticket_changing" : 0.9, "id_number" : 0.9986, "name" : 0.996, "log_id" : 0.9968, "ticket_office" : 0.9984, "issue_date" : 0, "discount_mark" : 0, "serial_number" : 0, "tax_amount" : 0, "tax_rate" : 0, "air_conditioning" : 0, "original_invoice_number" : 0, "unified_social_credit_code" : 0, "buyer_name" : 0, "total_amount_excluding_tax" : 0, "invoice_number" : 0, "seal_mark" : false, "title" : 0, "area" : 0, "receipt_number" : 0, "amount_in_figures" : 0, "amount_in_words" : 0 } } }
状态码:400
失败响应示例
{ "error_code": "AIS.0103", "error_msg": "The image size does not meet the requirements." }
SDK代码示例
SDK代码示例如下。
使用SDK前建议将SDK更新至最新版,防止本地旧版SDK无法使用最新的OCR功能。
- 传入火车票图片的base64编码进行文字识别
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package com.huaweicloud.sdk.test; import com.huaweicloud.sdk.core.auth.ICredential; import com.huaweicloud.sdk.core.auth.BasicCredentials; import com.huaweicloud.sdk.core.exception.ConnectionException; import com.huaweicloud.sdk.core.exception.RequestTimeoutException; import com.huaweicloud.sdk.core.exception.ServiceResponseException; import com.huaweicloud.sdk.ocr.v1.region.OcrRegion; import com.huaweicloud.sdk.ocr.v1.*; import com.huaweicloud.sdk.ocr.v1.model.*; public class RecognizeTrainTicketSolution { public static void main(String[] args) { // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security. // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment String ak = System.getenv("CLOUD_SDK_AK"); String sk = System.getenv("CLOUD_SDK_SK"); ICredential auth = new BasicCredentials() .withAk(ak) .withSk(sk); OcrClient client = OcrClient.newBuilder() .withCredential(auth) .withRegion(OcrRegion.valueOf("<YOUR REGION>")) .build(); RecognizeTrainTicketRequest request = new RecognizeTrainTicketRequest(); TrainTicketRequestBody body = new TrainTicketRequestBody(); body.withImage("/9j/4AAQSkZJRgABAgEASABIAAD/4RFZRXhpZgAATU0AKgAAAA..."); request.withBody(body); try { RecognizeTrainTicketResponse response = client.recognizeTrainTicket(request); System.out.println(response.toString()); } catch (ConnectionException e) { e.printStackTrace(); } catch (RequestTimeoutException e) { e.printStackTrace(); } catch (ServiceResponseException e) { e.printStackTrace(); System.out.println(e.getHttpStatusCode()); System.out.println(e.getRequestId()); System.out.println(e.getErrorCode()); System.out.println(e.getErrorMsg()); } } }
- 传入火车票图片的url进行文字识别
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package com.huaweicloud.sdk.test; import com.huaweicloud.sdk.core.auth.ICredential; import com.huaweicloud.sdk.core.auth.BasicCredentials; import com.huaweicloud.sdk.core.exception.ConnectionException; import com.huaweicloud.sdk.core.exception.RequestTimeoutException; import com.huaweicloud.sdk.core.exception.ServiceResponseException; import com.huaweicloud.sdk.ocr.v1.region.OcrRegion; import com.huaweicloud.sdk.ocr.v1.*; import com.huaweicloud.sdk.ocr.v1.model.*; public class RecognizeTrainTicketSolution { public static void main(String[] args) { // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security. // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment String ak = System.getenv("CLOUD_SDK_AK"); String sk = System.getenv("CLOUD_SDK_SK"); ICredential auth = new BasicCredentials() .withAk(ak) .withSk(sk); OcrClient client = OcrClient.newBuilder() .withCredential(auth) .withRegion(OcrRegion.valueOf("<YOUR REGION>")) .build(); RecognizeTrainTicketRequest request = new RecognizeTrainTicketRequest(); TrainTicketRequestBody body = new TrainTicketRequestBody(); body.withUrl("https://BucketName.obs.myhuaweicloud.com/ObjectName"); request.withBody(body); try { RecognizeTrainTicketResponse response = client.recognizeTrainTicket(request); System.out.println(response.toString()); } catch (ConnectionException e) { e.printStackTrace(); } catch (RequestTimeoutException e) { e.printStackTrace(); } catch (ServiceResponseException e) { e.printStackTrace(); System.out.println(e.getHttpStatusCode()); System.out.println(e.getRequestId()); System.out.println(e.getErrorCode()); System.out.println(e.getErrorMsg()); } } }
- 传入火车票图片的base64编码进行文字识别
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# coding: utf-8 from huaweicloudsdkcore.auth.credentials import BasicCredentials from huaweicloudsdkocr.v1.region.ocr_region import OcrRegion from huaweicloudsdkcore.exceptions import exceptions from huaweicloudsdkocr.v1 import * if __name__ == "__main__": # The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security. # In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.getenv("CLOUD_SDK_AK") sk = os.getenv("CLOUD_SDK_SK") credentials = BasicCredentials(ak, sk) \ client = OcrClient.new_builder() \ .with_credentials(credentials) \ .with_region(OcrRegion.value_of("<YOUR REGION>")) \ .build() try: request = RecognizeTrainTicketRequest() request.body = TrainTicketRequestBody( image="/9j/4AAQSkZJRgABAgEASABIAAD/4RFZRXhpZgAATU0AKgAAAA..." ) response = client.recognize_train_ticket(request) print(response) except exceptions.ClientRequestException as e: print(e.status_code) print(e.request_id) print(e.error_code) print(e.error_msg)
- 传入火车票图片的url进行文字识别
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# coding: utf-8 from huaweicloudsdkcore.auth.credentials import BasicCredentials from huaweicloudsdkocr.v1.region.ocr_region import OcrRegion from huaweicloudsdkcore.exceptions import exceptions from huaweicloudsdkocr.v1 import * if __name__ == "__main__": # The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security. # In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak = os.getenv("CLOUD_SDK_AK") sk = os.getenv("CLOUD_SDK_SK") credentials = BasicCredentials(ak, sk) \ client = OcrClient.new_builder() \ .with_credentials(credentials) \ .with_region(OcrRegion.value_of("<YOUR REGION>")) \ .build() try: request = RecognizeTrainTicketRequest() request.body = TrainTicketRequestBody( url="https://BucketName.obs.myhuaweicloud.com/ObjectName" ) response = client.recognize_train_ticket(request) print(response) except exceptions.ClientRequestException as e: print(e.status_code) print(e.request_id) print(e.error_code) print(e.error_msg)
- 传入火车票图片的base64编码进行文字识别
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package main import ( "fmt" "github.com/huaweicloud/huaweicloud-sdk-go-v3/core/auth/basic" ocr "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/ocr/v1" "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/ocr/v1/model" region "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/ocr/v1/region" ) func main() { // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security. // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak := os.Getenv("CLOUD_SDK_AK") sk := os.Getenv("CLOUD_SDK_SK") auth := basic.NewCredentialsBuilder(). WithAk(ak). WithSk(sk). Build() client := ocr.NewOcrClient( ocr.OcrClientBuilder(). WithRegion(region.ValueOf("<YOUR REGION>")). WithCredential(auth). Build()) request := &model.RecognizeTrainTicketRequest{} imageTrainTicketRequestBody:= "/9j/4AAQSkZJRgABAgEASABIAAD/4RFZRXhpZgAATU0AKgAAAA..." request.Body = &model.TrainTicketRequestBody{ Image: &imageTrainTicketRequestBody, } response, err := client.RecognizeTrainTicket(request) if err == nil { fmt.Printf("%+v\n", response) } else { fmt.Println(err) } }
- 传入火车票图片的url进行文字识别
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package main import ( "fmt" "github.com/huaweicloud/huaweicloud-sdk-go-v3/core/auth/basic" ocr "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/ocr/v1" "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/ocr/v1/model" region "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/ocr/v1/region" ) func main() { // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security. // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment ak := os.Getenv("CLOUD_SDK_AK") sk := os.Getenv("CLOUD_SDK_SK") auth := basic.NewCredentialsBuilder(). WithAk(ak). WithSk(sk). Build() client := ocr.NewOcrClient( ocr.OcrClientBuilder(). WithRegion(region.ValueOf("<YOUR REGION>")). WithCredential(auth). Build()) request := &model.RecognizeTrainTicketRequest{} urlTrainTicketRequestBody:= "https://BucketName.obs.myhuaweicloud.com/ObjectName" request.Body = &model.TrainTicketRequestBody{ Url: &urlTrainTicketRequestBody, } response, err := client.RecognizeTrainTicket(request) if err == nil { fmt.Printf("%+v\n", response) } else { fmt.Println(err) } }
更多编程语言的SDK代码示例,请参见API Explorer的代码示例页签,可生成自动对应的SDK代码示例。
状态码
状态码 |
描述 |
---|---|
200 |
成功响应示例 |
400 |
失败响应示例 |
状态码请参见状态码。
错误码
错误码请参见错误码。