The Networked Photo-Enforcement and Traffic Monitoring System Unicam
ECBS '04 Proceedings of the 11th IEEE International Conference and Workshop on Engineering of Computer-Based Systems
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Preceding vehicle recognition based on learning from sample images
IEEE Transactions on Intelligent Transportation Systems
Automatic license plate recognition
IEEE Transactions on Intelligent Transportation Systems
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As one of the hot issues of studying in the field of modern traffic engineering, the license plate recognition (LPR) has attracted more and more attention. In this paper, an experimental system for the LRP of China-style license plates is presented. The proposed system consists of four phases: license plate location, which is based on colour character and vein character to locate the plate; image pre-processing, which is included gray processing, binary processing and wiping off the side frame and the Upper and Lower rivets of license plate; character segmentation, which is based on the improved horizontal projection; and character recognition, which is proposed to use artificial neural networks for recognizing of license plate characters. This system is effective for solving the problems which are Chinese character unconnected, cement of the character, illumination variance, interference of the noise and space mark. From the results of experiment, we can see the proposed approach is robust. Yet there are still some images failed to detect in the experiment (especially skew images). We will improve the performance of the algorithm through skew correction of license plate further.