Number Plate Detection with a Multi Convolutional Neural Network Approach with Optical Character Recognition for Mobile Devices
In this paper, we propose a method to achieve improved number plate detection for mobile devices by applying a multiple convolutional neural network (CNN) approach. First, we processed supervised CNN verified car detection and then we applied the detected car regions to the next supervised CNN verifier for number plate detection. In the final step, the detected number plate regions were verified through optical character recognition by another CNN verifier. Since mobile devices are limited in computation power, we are proposing a fast method to recognize number plates. We expect for it to be used in the field of intelligent transportation systems.
J. Inf. Process. Syst.