In this article, we’ll explore how to prevent fraudsters from spoofing a facial recognition system with an API. So, let’s begin!

Face recognition technology can identify facial features in any photo or video using biometric authentication methods. The face is recognized by comparing the image to the official information your clients have provided. To assure authenticity, it employs a variety of AI-powered methods, such as liveness recognition, depth mapping, skin texture analysis, and 3D sensing. With the introduction of AI facial recognition algorithms, the program is now more effective.

When using a facial recognition system, a person’s face is compared to a database of recognized faces. Then it compares the two faces to see how similar they are, and it gives a score indicating how likely it is that the two faces match. It’s crucial to remember that spoofing is the act of fabricating data or information. In this instance, it would entail manipulating a facial recognition system’s output. Fraudsters may use this technique to access restricted areas or private data. Fortunately, organizations may use Passive Liveness Detection APIs to safeguard themselves against spoofing.

Businesses can easily obtain data from one system and utilize it in another by using APIs. In this situation, they can utilize an API to verify the authenticity of an image as part of their security precautions. By doing this, companies can make sure that any photographs used by consumers or staff are real and aren’t being manipulated by hackers to fool the system.

This is so that information about how an image was altered can be hidden. An altered selfie, for instance, may mask someone’s plastic surgery and make them appear younger than they actually are. Or, if someone has a noticeable bruise or swelling on their face, an altered selfie may make it appear as though they are completely OK.

Face Liveness Check API

Face liveness detection helps to identify fraud by ensuring that the image you have been given isn’t a picture of a picture, a passport-sized image, or an image of another person on a cell phone/laptop screen. Use the Face Comparison Validator API along with it to make sure the selfie is authentic and belonged to the person you were expecting. 

You send the picture URL that you want to verify as input to this API. It will contain information on the face’s condition, whether the photo was captured in real time, and its location in the image. 

Let’s Talk About How To Run This API:

To obtain an API key that you may use to access any of the available APIs, you must first register for a Zyla API Hub account.

Second, include your bearer token in the Authorization header to authenticate your API key. Once you’re finished, you’ll be able to use the API.

The “START FREE TRIAL” button must first be clicked. Then, when calling the endpoint Detect Faces, enter the URL of the image you wish to analyze as a parameter. Pressing “test endpoint” will immediately provide the answer. You can only use the “Check Liveness” and “Get Results” endpoints when utilizing this Face Liveness Check API.

[
{
"action": "check_photo_liveness",
"completed_at": "2022-09-13T20:52:02+05:30",
"created_at": "2022-09-13T20:52:01+05:30",
"group_id": "123",
"request_id": "d3dc6e39-a4fc-4d6d-88c8-4c23b9ddd360",
"result": {
"are_eyes_open": true,
"confidence": 99,
"face_box": {
"height": 490,
"left": 345,
"top": 85,
"width": 352
},
"face_coverage": {
"message": "optimal",
"percentage": 29,
"status": "optimal"
},
"face_detected": true,
"face_quality": {
"message": "optimal",
"status": "optimal"
},
"is_face_cropped": false,
"is_live": false,
"multiple_faces_detected": false,
"review_required": false
},
"status": "completed",
"task_id": "123",
"type": "face"
}
]

This response—which included an evaluation of the submitted image and its request id—was sent to us by the “Get Results” API.