Physical Tampering Detection for Identification Documents

Due to the recent pandemic, electronic know-your-customer (e-KYC) technologies have enabled business continuity for various sectors. In the case of Malaysia, the Malaysia National Identity card (MyKad) is often used for identity verification purposes. However, when presenting MyKad online, the uploaded MyKad could be an image of the actual MyKad taken a few years back, a printout of a legit MyKad, or a digitally/physically tampered MyKad. This research aims to detect non-genuine MyKad. Specifically, we consider the unique colour count, the surface roughness score (i.e., complexity), and local binary patterns (LBP) of the received MyKad image to make inferences.