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  • 1:1 Face Verification With Liveness Detection
  • Input Example
  • Interpretation of Result

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  1. OkayFace

1:1 Face Verification V4-1

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Last updated 4 years ago

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1:1 Face Verification With Liveness Detection

POST http://demo.faceid.asia/api/faceid/v4-1/verify

Request Body

Name
Type
Description

apiKey 

string

To be assigned by Innov8tif

imageIdCard 

string

Front id card image in base64

imageBest 

string

Selfie photo in base64

{"imageBestLiveness":{"probability":1.8339830987201822E-8,"score":-6.1092305183410645,"quality":1.0},"request_id":"53b7443b-2cf9-407e-a710-b304a6a569a5","result_idcard":{"confidence":0.51890767}}

Input Example

JSON
{
	"apiKey": "apiKey",
	"imageIdCard": "",
	"imageBest": ""
}

Interpretation of Result

Key

Value

confidence

Test passes if more than 1.0(recommended threshold)

probability

Probability of liveness

score

Linear liveness score: bigger value means more alive

quality

Quality value

error

Error message from the server

  • Probability of liveness is a main response of the system.

  • The image is accepted as "live" when a probability is bigger than 0.5.

  • Linear liveness score can be used for BPCER / APCER tuning.

  • The range of score is (ln 1e-7, -ln 1e-7).

  • Quality value is a probability of "appropriate image".

  • Value can be lower than 0.5 by the reasons below.

    • Face minimal side is less than 180 pix or distance between eyes is less than 90 pix.

    • Face out-of-plane rotation is bigger than 20 degrees.

    • The distance between face and camera is very small, so the face can be significantly distorted.

    • The luminous power is insufficient.

    • High motion or gaussian blur rate or light shot.

979B
OkayFace v4-1.postman_collection.json
OkayFace v4-1