Factors that influence the geometric detection pattern of vehicle-based licence plate recognition camera systems
Date
2018-07
Journal Title
Journal ISSN
Volume Title
Publisher
Southern African Transport Conference
Abstract
Licence plate recognition (LPR) systems are used to automatically extract the characters from licence plates positioned in front of a camera. The geometric detection pattern is the region within which the system can accurately recognise licence plates and is of special interest when the system is mounted in a moving vehicle. In this research, the theory surrounding camera optics was investigated and used as the basis of a software simulation model. Inspired by the simulation measurements, a real-world experimental test was conducted to further explore the influence various factors have on the geometric detection pattern. Analysis of these measurements provided greater insight how multiple factors individually contribute to the shape and size of the geometric detection pattern and serves as a guide in the design of vehicle-based LPR systems.
Description
CITATION: Rademeyer, M. C., Booysen, M. J. & Barnard, A. 2018. Factors that influence the geometric detection pattern of vehicle-based licence plate recognition camera systems. In Southern African Transport Conference, 9-12 July 2018, Pretoria, South Africa.
The original publication is available at http://www.satc.org.za
The original publication is available at http://www.satc.org.za
Keywords
Automobile license plates, Traffic cameras, Geometric patterns, Traffic monitoring
Citation
Rademeyer, M. C., Booysen, M. J. & Barnard, A. 2018. Factors that influence the geometric detection pattern of vehicle-based licence plate recognition camera systems. In Southern African Transport Conference, 9-12 July 2018, Pretoria, South Africa.