1.4 /identity/silent_image_verification/stateless

Compare the photo and the video uploaded through the interface to determine whether the faces belong to the same person.

For photo and video standards, refer to Chapter 3 Photo and Video Standards in the Operation Manual.

Request mode

POST

Request URL

http://ip:port/identity/silent_image_verification/stateless

Request parameters

Name	Type	Required	Description
encrypted_video	string	Yes	Encrypted video Encryption method reference: [Photo and Video Encryption]
encrypted_image	string	Yes	Encrypted photo Encryption method reference: [Photo and Video Encryption]
auto_rotate	boolean	No	The default value is false, indicating that the photo is not rotated. When the value is true, the photo is automatically rotated.
check_quality	boolean	No	The default value is false, and no quality test is performed. When the value is true, the photo quality is checked.
return_image	boolean	No	Whether to return the selected frame of face and timestamp of the selected frame of the photo. The default is false. image_timestamp and base64_image are returned only when this value is true and the live detection is passed.
return_face_image	boolean	No	Whether to return the face clipping of the selected frame of the photo. The default is false. base64_face_imageis returned only when this value is true and the live detection is passed.
return_status	boolean	No	Whether to return the error status description. The default is false. liveness_status is returned only when this value is true.

check_qualitycan currently only evaluate face occlusion. Other evaluation items may be added in the future.

Normal response

Name	Type	Description
code	int	System response code: 1000
passed	boolean	Liveness detection passed or not
liveness_score	float	The score of silent liveness detection (for reference only, please refer to the passed field)
liveness_status	string	Description of the error status of silent liveness detection. This field is returned when return_status=true
verification_score	float	Face comparison score, recommended threshold: > 0.7. This field is returned when passed=true
image_timestamp	float	Timestamp of the selected frame of image in seconds. This field is returned only when passed=true and return_image=true
base64_image	string	The selected frame of the photo. This field is returned only when passed=true and return_image=true
base64_face_image	string	Face clipping of the selected frame of the photo. This field is returned only when passed=true and return_face_image=true
request_id	string	The ID of this request

The possible results ofliveness_statusare as follows:

Status	Description
ok	Silent liveness detection passed: the person in the video is real
hack	Silent liveness detection failed, reason: face spoofing (for example, photos taken by the mobile phone)
short_time	Silent liveness detection failed, reason: video time less than 2s

{
    "code": int,
    "passed": boolean,
    "liveness_score": float,
    "liveness_status": string,
    "verification_score": float.
    "image_timestamp": float,
    "base64_image": string,
    "base64_face_image": string,
    "request_id": string
}

Correlations between the verification score threshold and the error rate:

Threshold	0.4	0.5	0.6	0.7	0.8	0.9
error rate	1/10	1/100	1/1000	1/10,000	1/100,000	1/1,000,000

Recommended threshold: greater than 0.7.

Abnormal response

Name	Type	Instructions
code	int	System response code
message	string	Error Messages
request_id	string	The ID of this request

{
    "code": int,
    "message": string,
    "request_id": string
}

System response code

code	Field value	Description
1200	invalid argument	Invalid input parameter
2003	invalid image size	The image size (height and width in pixel) does not meet the requirements
2004	invalid content length	The image file size does not meet the requirements
2005	invalid image type or corrupted	The image type does not meet the requirements
4000	detection failed	Feature extraction failed, no face detected in the image
4004	face occlusion	The face is detected, but the eyes, nose, or mouth are partially occluded
4007	liveness silent check failed	Silent liveness detection failed

Possible HTTP status codes

status	Description
400	BAD_REQUEST
404	NOT_FOUND
411	LENGTH_REQUIRED
413	PAYLOAD_TOO_LARGE
500	INTERNAL_ERROR

Sample

Curl

curl -X POST "http://ip:port/identity/silent_image_verification/stateless" \
  -d encrypted_video=xxx \
  -d encrypted_image=xxx \
  -d auto_rotate=true

Java

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;

import org.apache.http.HttpEntity;
import org.apache.http.NameValuePair;
import org.apache.http.client.entity.UrlEncodedFormEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.message.BasicNameValuePair;
import org.apache.http.util.EntityUtils;

public class HttpClient {
    public static final String POST_URL = "http://127.0.0.1:3000/identity/silent_image_verification/stateless";
    private static AESCipher cipher = new AESCipher("dcbbad6765e14139a07d34b92292a672", "df25d188a061");

    public static void Post() throws Exception {
        CloseableHttpClient httpclient = HttpClients.createDefault();
        HttpPost post = new HttpPost(POST_URL);

        List<NameValuePair> params = new ArrayList<>();

        String encryptedVideo = cipher.encrypt(
                Files.readAllBytes(Paths.get("src/main/resources/video_01.mp4")));
        String encryptedImage = cipher.encrypt(
                Files.readAllBytes(Paths.get("src/main/resources/face_01.jpg")));

        params.add(new BasicNameValuePair("encrypted_video", encryptedVideo));
        params.add(new BasicNameValuePair("encrypted_image", encryptedImage));
        params.add(new BasicNameValuePair("auto_rotate", "true"));
        params.add(new BasicNameValuePair("return_image", "true"));
        params.add(new BasicNameValuePair("return_face_image", "true"));
        params.add(new BasicNameValuePair("return_status", "true"));

        post.setEntity(new UrlEncodedFormEntity(params));
        HttpResponse response = httpclient.execute(post);

        if (response.getStatusLine().getStatusCode() == 200) {
            HttpEntity respEntity = response.getEntity();
            BufferedReader reader = new BufferedReader(new InputStreamReader(respEntity.getContent()));
            String line = reader.readLine();
            System.out.println(line);
        } else {
            HttpEntity respEntity = response.getEntity();
            String responseString = EntityUtils.toString(respEntity);
            System.out.println("error:" + response.getStatusLine().getStatusCode()
                    + "  " + response.getStatusLine().getReasonPhrase());
            System.out.println("cause of error:" +responseString);
        }
    }

    public static void main(String[] args) throws Exception {
        Post();
    }
}