3D Face Authentication Software Test Automation

Abstract

The 3D face authentication has become a hot trend for researchers and developers in the recent years, due to its many advantages over the 2D face recognition feature. The 3D reconstruction of a human face using both near-infrared and depth sensors is a complex process on mobile phones. It commonly involves algorithms like face detection, face landmark detection, facial feature extraction, and depth information analysis. The 3D face authentication feature is critical for the user as per as security and also providing a convenient way to authenticate by the correct user. Therefore, the testing of 3D face authentication algorithms and applications in terms of functionality, performance, and stability is critical. However, the research on 3D face authentication application level validation and testing method is lacking in the field. Most testers are still validating the application manually. In this paper, we propose a robotic-arm-based test automation for testing the 3D face authentication feature on mobile phones. We programmed a 6 degree of freedom (6-DOF) robotic arm to perform 3D face authentication automated tests that were executed manually before. Our test automation also benchmarked the performance of an in-house developed 3D face authentication application and a 3 rd party application which yielded promising latency and accuracy comparison results under different performance-impacting test scenarios.

A Three-Step Authentication Model for Mobile Phone User Using Keystroke Dynamics

“…Biometrics is one of the safest and most reliable ways of authentication as it is the characteristic of the user only. The most popular biometric methods used are finger scan [4], [5], retina scan [6], face scan [7], [8], keystroke dynamics [9], [10], etc. Finger scan is the most popular biometric being used in mobile phones.…”