The models from these trainings were deployed with the whole license plate testing. Differently from a one-line type license plate, the research proposed an approach of two-step training and recognizing by firstly segmenting and training the 3 lines of each license plate by using deep learning (MobileNets and Inception-v3) in the second step, Thai letters and numbers on the plate were segmented and trained. This type of plate is a triple-line type containing 3 lines of character sets, which represent category, registered place, and registered numbers respectively from top to bottom. This research focuses on the latter part by researching into Thai motorcycle license plate. The vehicle license recognition system commonly combines 2 sub-systems: license plate detection, which aims to locate the vehicle and its license plate and license plate recognition, which aims to recognize the characters on the plate. ![]() Recognizing vehicle’s license plate is necessary because the number of vehicles is increasing and it goes beyond human’s ability to complete this task.
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