Face Match with Document

To perform Face Match between a document and a face, it is necessary to make a POST request, sending a valid document identifier attribute and a valid face image identifier attribute, in json format to the following address:

https://api.caas.qitech.app/ocr/face_match

Face Match com Documento

    curl "https://api.caas.qitech.app/ocr/face_match" \
         -H "Authorization: EXAMPLE_API_KEY"

Request Body

  {
    "ocr_key": "\<ocr_key\>",
    "image_key": "\<image_key\>"
  }

Request Attributes Description

Attribute	Description
ocr_key	Required field. Valid document identifier. Performed according to Document Submission section
image_key	Required field. Valid face image identifier. Performed according to Image Submission

Response

If your Face Match request is processed successfully, an HTTP status 200 and a JSON object similar to the one below will be returned:

Response Body

    {
        "face_match_key": "94b5423d-6b1e-4b32-b148-a4ccc058ba9f",
        "face_match_result": "match",
        "similarity_ratio": 100
    }  

Response Attributes Description

Attribute	Description
face_match_key	Face Match request identification key.
face_match_result	Query result. The enumerator match is returned in cases where facial similarity is above 95% and unmatch otherwise.
similarity_ratio	Facial similarity between faces, in percentile.