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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Cuong Vu Quoc
Hanoi University of Science and Technology
Computer Science & IT Engineering

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Proposing WPOD-NET combining SVM system for detecting car number plate Phat Nguyen Huu; Cuong Vu Quoc
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i3.pp657-665

Abstract

Nowadays, there are many smart parking lots using plate detection system to control in/out vehicles. However, the disadvantages of systems are a fixed environment and necessity of manual labor and requirement of checkpoints in entrances. To solve the problems, a novel algorithm for wide-angle detecting car number plate using warped planar object detection (WPOD-NET) and a modified support vector machine (SVM) system is proposed. Comparing to other models, the proposal improves not only the range of detection angle but also the accuracy of detecting in shady conditions. The results show that the accuracy of proposal model is up to 95.1% with 1000 testing images in various scenarios.
Co-Authors Phat Nguyen Huu