A constraint based real-time license plate recognition system

Günaydın, Ali Gökay
License Plate Recognition (LPR) systems are frequently utilized in various access controls and security applications. In this thesis, an experimental constraint based real-time License Plate Recognition system is designed, and implemented in Java platform. Many of the available constraint based methods worked under strict restrictions such as plate color, fixed illumination and designated routes, whereas, only the license plate geometry and format constraints are used in this developed system. These constraints are built on top of the current Turkish license plate regulations. The plate localization algorithm is based on vertical edge features where constraints are used to filter out non-text regions. Vertical and horizontal projections are used for character segmentation and Multi Layered Perceptron (MLP) based Optical Character Recognition (OCR) module has been implemented for character identification. The extracted license plate characters are validated against possible license plate formats during the recognition process. The system is tested both with Turkish and foreign license plate images including various plate orientation, image quality and size. An accuracy of 92% is achieved for license plate localization and %88 for character segmentation and recognition.


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License plate recognition (LPR) technology has great importance for the development of Intelligent Transportation Systems by automatically identifying the vehicles using image processing and pattern recognition techniques. Conventional LPR systems consist of license plate detection (LPD), character segmentation (CS) and character recognition (CR) steps. Successful detection of license plate and character locations have vital role for proper LPR. Most LPD and CS techniques in the literature assume fixed dist...
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With the help of advancements on sensor and data transfer technologies, the usage area of Automatic License Plate Recognition (ALPR) Systems has been enlarged. Both public and private sectors implement ALPR applications for their respective needs. Public safety ALPR applications aim to monitor and control traffic data at both individual and collective levels. For this reason, to build an efficient sensor network number and location of ALPR systems should be determined optimally. This study focuses on determ...
Citation Formats
A. G. Günaydın, “A constraint based real-time license plate recognition system,” M.S. - Master of Science, Middle East Technical University, 2007.