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Golang connects to Baidu AI interface to realize ID card recognition function, easy to get started
With the rapid development of artificial intelligence, more and more developers are beginning to pay attention to and use it AI services. Baidu AI open platform provides a variety of powerful interfaces, including ID card recognition functions. This article will introduce how to use Golang language to connect to Baidu AI interface to implement ID card recognition function, and provide relevant sample code.
First, we need to register an account on the Baidu AI open platform and create an application to obtain the API Key and Secret Key. Then, we can use the open source SDK "bce-golang" officially provided by Baidu for development, which provides Golang developers with a simple, efficient, and secure Baidu Cloud service interface calling function.
The following is a simple Golang code example that demonstrates how to use bce-golang SDK to connect to Baidu AI’s ID card recognition interface:
package main import ( "fmt" "strings" "github.com/baidubce/bce-sdk-go/bce" "github.com/baidubce/bce-sdk-go/services/bos" ) const ( ACCESS_KEY = "your-access-key" SECRET_KEY = "your-secret-key" ) func main() { // 创建BOS客户端 client, _ := bos.NewClient(ACCESS_KEY, SECRET_KEY, bce.NewConfig()) // 上传身份证图片 bucketName := "your-bucket-name" err := uploadImage(client, bucketName, "test.jpg", "./test.jpg") if err != nil { fmt.Println("Failed to upload image:", err) return } // 调用百度AI身份证识别接口 result, err := recognizeIDCard(client, bucketName, "test.jpg") if err != nil { fmt.Println("Failed to recognize ID card:", err) return } // 解析识别结果 parseResult(result) } // 上传图片到BOS func uploadImage(client *bos.Client, bucketName, key, file string) error { putObjectArgs := &bos.PutObjectArgs{ BucketName: bucketName, Key: key, SourceFile: file, } _, err := client.PutObject(putObjectArgs) if err != nil { return err } return nil } // 调用百度AI身份证识别接口 func recognizeIDCard(client *bos.Client, bucketName, key string) (string, error) { // 构造RequestBody requestBody := strings.NewReader(fmt.Sprintf(`{ "image": { "bucket": "%s", "object": "%s" }, "configure": { "side": "front" } }`, bucketName, key)) // 调用AI接口 resp, err := client.Post("/v1/ai/idcard", requestBody, map[string]string{}) if err != nil { return "", err } // 读取响应结果 defer resp.Body.Close() body, _ := ioutil.ReadAll(resp.Body) return string(body), nil } // 解析身份证识别结果 func parseResult(result string) { // 解析JSON结果 var jsonResult map[string]interface{} json.Unmarshal([]byte(result), &jsonResult) // 获取姓名和身份证号码字段 name := jsonResult["name"].(string) idNum := jsonResult["idNumber"].(string) fmt.Println("姓名:", name) fmt.Println("身份证号码:", idNum) }
In the above sample code, we first create a BOS client, and then upload the ID card image to the specified BOS bucket through the uploadImage
function. Next, we call the recognizeIDCard
function, which uses the ID card recognition interface to recognize the uploaded image. Finally, we parse the recognition results and output the name and ID number.
It should be noted that the constants ACCESS_KEY
and SECRET_KEY
in the sample code correspond to the API Key and Secret Key respectively obtained when you create an application on Baidu AI Open Platform . In addition, you also need to replace bucketName
and image path ./test.jpg
in the sample code with your own BOS bucket name and image path.
Through the above sample code, we can easily realize the docking of Golang and Baidu AI interface, and quickly realize the ID card recognition function. I hope this article can help readers quickly get started with Golang development and use Baidu AI interface to implement more interesting functions.
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