26 March 2015 End-to-end system of license plate localization and recognition
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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
© 2015 SPIE and IS&T
Siyu Zhu, Sohail A. Dianat, Lalit K. Mestha, "End-to-end system of license plate localization and recognition," Journal of Electronic Imaging 24(2), 023020 (26 March 2015). https://doi.org/10.1117/1.JEI.24.2.023020 . Submission:
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