Contactless Palm Recognition System

The objective of this paper is to analyze the design and development of a contactless attendance system which verifies the identity of different users through their palm print. 21 distinct points in each users’ palm are analyzed using Google’s MediaPipe module. Further, a backend database and corresponding user interface with authentication is developed for the purpose of storing user’s details and palm prints.