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Currently, payment at most car parking‐lots is carried out in the following manner: a ticket machine at entrance prints a ticket with a bar‐code for each car entering the parking‐lot. This ticket is later scanned at a payment terminal to determine the amount to be paid. The procedure can be automated using face detection and recognition technology. This automation can help with the issue of ticket loss/car theft. This study describes an automated car parking system. The proposed system consists of a camera installed at the entrance/exit of the parking‐lot. Frames are continuously acquired by the camera. If there is a detected face, it is registered in the database. When a driver is leaving, the face image is captured again at the exit of parking‐lot and compared in the database to conclude the identity. The system at the parking entrance/exit is composed of the following processing modules: (i) image acquisition, (ii) vehicle and face detection, and (iii) feature extraction that also includes a feature comparison/classification module for face recognition. The authors propose suitable algorithms for each module and carry out ad‐hoc experiments to check the feasibility of the proposed system.
Mahmood et al. (Wed,) studied this question.