Abstract
This paper presents a solution for the license plate recognition problem in residential community administrations in China. License plate images are pre-processed through gradation, middle value filters and edge detection. In the license plate localization module the number of edge points, the length of license plate area and the number of each line of edge points are used for localization. In the recognition module, the paper applies a statistical character method combined with a structure character method to obtain the characters. In addition, more models and template library for the characters which have less difference between each other are built. A character classifier is designed and a fuzzy recognition method is proposed based on the fuzzy decision-making method. Experiments show that the recognition accuracy rate is up to 92%.
Highlights
License plate recognition is an important issue in the field of intelligent transportation systems.It utilizes computer vision and pattern recognition technologies [1,2]
The system, which was composed of three cascading modules for plate detection, character segmentation and post processing, could recognize the license plates at over 38 frames per second and the recognition rate was higher than 90%
We focus on the requirements of the civil vehicle management system and the characteristics of civil vehicle license plate, a license plate identification algorithm and a license plate recognition system for use in the community were developed
Summary
License plate recognition is an important issue in the field of intelligent transportation systems. The software components take care of vehicle image preprocessing, license plate localization, character segmentation and character recognition. In the study described in [23], the system was implemented on an embedded DSP platform and the system processes a video stream in real-time This system consisted of detection and character recognition modules. A method of fast identification algorithms was developed by using the characteristics of license plate characters. The system, which was composed of three cascading modules for plate detection, character segmentation and post processing, could recognize the license plates at over 38 frames per second and the recognition rate was higher than 90%. In the license plate recognition system, image processing and pattern recognition technology were adopted
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