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End-to-end system of license plate localization and recognition

[+] Author Affiliations
Siyu Zhu, Sohail Dianat

Rochester Institute of Technology, Kate Gleason College of Engineering, Electrical, and Microelectronic Engineering Department, 77 Lomb Memorial Drive, Rochester, New York 14623, United States

Lalit K. Mestha

Xerox Research Center Webster, 800 Phillips Road, Webster, New York 14580, United States

J. Electron. Imaging. 24(2), 023020 (Mar 26, 2015). doi:10.1117/1.JEI.24.2.023020
History: Received October 29, 2014; Accepted March 9, 2015
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Abstract.  An end-to-end license plate recognition system is proposed. It is composed of preprocessing, detection, segmentation, and character recognition to find and recognize plates from camera-based still images. The system utilizes connected component (CC) properties to quickly extract the license plate region. A two-stage CC filtering is utilized to address both shape and spatial relationship information to produce high precision and to recall values for detection. Floating peak and valleys of projection profiles are used to cut the license plates into individual characters. A turning function-based method is proposed to quickly and accurately recognize each character. It is further accelerated using curvature histogram-based support vector machine. The INFTY dataset is used to train the recognition system, and MediaLab license plate dataset is used for testing. The proposed system achieved 89.45% F-measure for detection and 87.33% accuracy for overall recognition rate which is comparable to current state-of-the-art systems.

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Citation

Siyu Zhu ; Sohail Dianat and Lalit K. Mestha
"End-to-end system of license plate localization and recognition", J. Electron. Imaging. 24(2), 023020 (Mar 26, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.2.023020


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