Face authentication for iOS SDK

important

Face Matching authentication works from 8.0.0 iOS SDK versions.

Introduction

Face authentication is a perfect tool to perform KYC checks once and then use the same scanRef to perform multiple verifications just within 30 seconds!

The flow only requires the user to take a regular face photo to perform the authentication.

Pre-conditions

A successful verification must be performed before initializing face authentication. For face authentication all you need is scanRef, which is obtained here. Read about performing verification here.

Getting started

Follow the iDenfySDK integration guide, which is required for the face authentication as well.

After you completed the steps and application compiles successfully, you are ready to implement face auth specific logic.

important

You can also download the sample app, it supports face authentication, so it should be much easier. Download here.

Follow the information below to get started.

1. Handle webhook callback

You will receive a webhook callback if it is a preferred way of handling results (it should be since it is more secure and reliable). The webhook structure is the following:

{
  "token": "token",
  "clientId": "clientId",
  "scanRef": "scanRef",
  "status": "SUCCESS",
  "type": "AUTHENTICATION",
  "method": "FACE_MATCHING",
  "facePhoto": "https://s3.eu-west-1.amazonaws.com/production.users.storage/users_storage/users/<HASH>/FRONT.png?AWSAccessKeyId=<KEY>&Signature=<SIG>&Expires=<STAMP>"
}

The "facePhoto" key type: String (URL), Can be null: Yes, Constraints: Max length 500, Explanation: A URL to download selfie photo with which a client has completed a face authentification.

The "status" key has the following values:

Name	Description
SUCCESS	The user completed face authentication flow and the authentication status, provided by an automated platform, is SUCCESS.
FAILED	The user completed face authentication flow and the authentication status, provided by an automated platform, is FAILED.
CANCELED	The user did not complete the face authentication flow and canceled it and the identification status, provided by an automated platform, is EXIT.
EXPIRED	The user did not complete the face authentication flow, but did not cancel it explicitly and the identification status, provided by an automated platform, is EXPIRED.

important

To set your webhook URL, contact at tech support via our dashboard.

2. Handle callback in SDK

If you also want to handle results directly in mobile app, you can implement the result handling in the SDK as well.

        idenfyController.handleIdenfyCallbacksForFaceAuthentication(faceAuthenticationResult: { faceAuthenticationResult in
            print("FaceAuthenticationStatus: ", faceAuthenticationResult.faceAuthenticationStatus.rawValue)
            switch faceAuthenticationResult.faceAuthenticationStatus {
            case .SUCCESS:
                // The user completed authentication flow, was successfully authenticated
                break
            case .FAILED:
                // The user completed authentication flow, was not successfully authenticated
                break
            case .EXIT:
                // The user did not complete authentication flow
                break
            @unknown default:
                break
            }
        })

3. Check face authentication status and generate the token

Before initializing the SDK, you need to check whether the user can use face authentication and generate an authToken. To do this, please head to Token Generation for SDK documentation.

4. Initialize SDK

Now all you need is to pass the generated token. Congrats! 🥳

let faceAuthenticationInitialization = FaceAuthenticationInitialization(authenticationToken: authenticationToken, withImmediateRedirect: false)
idenfyController.initializeFaceAuthentication(faceAuthenticationInitialization: faceAuthenticationInitialization)

let idenfyVC = idenfyController.instantiateNavigationController()
present(idenfyVC, animated: true, completion: nil)

Customization

Immediate redirect

An additional bool can be passed to the function to set the immediate redirect feature. This boolean sets whether the results from iDenfy SDK should be received immediately without any additional result pages.

The client does the verification, loading state appears and closes - without showing the final status screen.

To enable it change the initialization of FaceAuthenticationInitialization in a following way:

let faceAuthenticationInitialization = FaceAuthenticationInitialization(authenticationToken: authenticationToken, withImmediateRedirect: true)

Face detection

While using face matching authentication, face detection feature can be enabled, which requires users to place their face into the marked area before taking a photo.

For better success rate, faces, that are far away from the camera won't be able to pass as well.

note

Contact our tech support via Jira customer portal for enabling this feature. Note that face detection will apply to both KYC verification and face authentication flows.

Passive liveness detection

Additionally, while using face matching authentication, passive liveness detection feature can be enabled, to detect whether a seflie from the photo is genuine or not.

note

Contact our tech support via Jira customer portal for enabling this feature. Note that face detection will apply to both KYC verification and face authentication flows.

Auto capture

Auto capture feature can be enabled, which requires users to place their face into the marked area and the picture will be automatically taken as well as immediately processed:

note

Contact our tech support via Jira customer portal for enabling this feature for face authentication.

UI Customization

The UI can be customized same as the KYC verification flow. The common colors or ViewUISettings can be overridden:

IdenfyCommonColors.idenfyMainColorV2 = UIColor.green
IdenfyCommonColors.idenfyMainDarkerColorV2 = UIColor.green
IdenfyCommonColors.idenfySecondColorV2 = UIColor.blue
IdenfyFaceAuthenticationInitialViewUISettingsV2.idenfyFaceAuthenticationInitialViewBackgroundColor = UIColor.white
IdenfyFaceAuthenticationResultsViewUISettingsV2.idenfyFaceAuthenticationResultsViewContinueButtonTextColor = UIColor.black

As well as custom implementations of Idenfy viewables can be passed to the IdenfyController:

let idenfyViewsV2: IdenfyViewsV2 = IdenfyViewsBuilderV2()
    .withStaticCameraOnBoardingView(StaticCameraOnBoardingViewV2())
    .withFaceAuthenticationSplashScreenV2View(FaceAuthenticationSplashScreenV2View())
    .withFaceAuthenticationResultsViewV2(FaceAuthenticationResultsViewV2())
    .withFaceCameraView(FaceCameraViewV2())
    .withCameraWithoutRectangleResultViewV2(CameraResultViewV2(frame: .zero, withRectangle: IdenfyCameraViewType.withoutRectangle))
    .build()

idenfyController.initializeFaceAuthentication(faceAuthenticationInitialization: faceAuthenticationInitialization, idenfyViewsV2: idenfyViewsV2)
let idenfyVC = idenfyController.instantiateNavigationController()
present(idenfyVC, animated: true, completion: nil)

Face authentication flow has additional UI settings, they can be passed using the IdenfyFaceAuthUIBuilder along with FaceAuthenticationInitialization:

let idenfyFaceAuthUISettings = IdenfyFaceAuthUIBuilder()
    //Show or hide language selection button
    .withLanguageSelection(true)
    //Show or skip camera on boarding screen
    .withOnBoardingView(true)
    .build()

let faceAuthenticationInitialization = FaceAuthenticationInitialization(authenticationToken: authenticationToken, idenfyFaceAuthUISettings: idenfyFaceAuthUISettings)