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Proceedings Paper

Image simulation for automatic license plate recognition
Author(s): Raja Bala; Yonghui Zhao; Aaron Burry; Vladimir Kozitsky; Claude Fillion; Craig Saunders; José Rodríguez-Serrano
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Paper Abstract

Automatic license plate recognition (ALPR) is an important capability for traffic surveillance applications, including toll monitoring and detection of different types of traffic violations. ALPR is a multi-stage process comprising plate localization, character segmentation, optical character recognition (OCR), and identification of originating jurisdiction (i.e. state or province). Training of an ALPR system for a new jurisdiction typically involves gathering vast amounts of license plate images and associated ground truth data, followed by iterative tuning and optimization of the ALPR algorithms. The substantial time and effort required to train and optimize the ALPR system can result in excessive operational cost and overhead. In this paper we propose a framework to create an artificial set of license plate images for accelerated training and optimization of ALPR algorithms. The framework comprises two steps: the synthesis of license plate images according to the design and layout for a jurisdiction of interest; and the modeling of imaging transformations and distortions typically encountered in the image capture process. Distortion parameters are estimated by measurements of real plate images. The simulation methodology is successfully demonstrated for training of OCR.

Paper Details

Date Published: 15 February 2012
PDF: 9 pages
Proc. SPIE 8305, Visual Information Processing and Communication III, 83050Z (15 February 2012); doi: 10.1117/12.912453
Show Author Affiliations
Raja Bala, Xerox Corp. (United States)
Yonghui Zhao, Xerox Corp. (United States)
Aaron Burry, Xerox Corp. (United States)
Vladimir Kozitsky, Xerox Corp. (United States)
Claude Fillion, Xerox Corp. (United States)
Craig Saunders, Xerox Research Ctr. Europe (France)
José Rodríguez-Serrano, Xerox Research Ctr. Europe (France)


Published in SPIE Proceedings Vol. 8305:
Visual Information Processing and Communication III
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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