Application of Face Verification in Automated Passenger Clearance System

摘要

It is important to improve the performance of verification algorithm in the automated passenger clearance system. The aim is to guarantee a low artificial intervention rate under a certain false acceptance rate (FAR). We analysed both the program flows of face verification and hardware system integration. Specifically, a multi-pose local binary pattern (MS-LBP) feature is used to find faces and locate eyes for the fuzzy, posture face images under complex illumination conditions. A new histogram of oriented gradient feature tailored for face (FHOG) is introduced to describe faces. Finally, a heterogeneous feature projection algorithm is provided to improve the feature discriminativity of probe and gallery images in the verification system. Experiments showed that the upgraded system has 20% improvement in performance than the original version, which demonstrate the effectiveness of the algorithm.