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Proceedings Paper

Binary threshold algorithm for license plate character segmentation
Author(s): Luis Enrique Toledo; Francisco Javier Cuevas
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Paper Abstract

We present a new threshold technique based on the character grey level percentage. The method is used in the binary segmentation process of characters in a license plate recognition problem. In this case, image contrast problems (i.e. shadows) are found due to variations in the illumination. These image contrast problems generate bad character segmentation such that a binary threshold adaptive algorithm is required. The grey level percentage is calculated from the image histogram. This percentage is used to find the threshold value. Results of the binary threshold process over real license plate images are presented.

Paper Details

Date Published: 10 February 2006
PDF: 8 pages
Proc. SPIE 6046, Fifth Symposium Optics in Industry, 60461H (10 February 2006); doi: 10.1117/12.674551
Show Author Affiliations
Luis Enrique Toledo, Ctr. de Investigaciones en Óptica A. C. (Mexico)
Francisco Javier Cuevas, Ctr. de Investigaciones en Óptica A. C. (Mexico)


Published in SPIE Proceedings Vol. 6046:
Fifth Symposium Optics in Industry
Eric Rosas; Rocío Cardoso; Juan C. Bermudez; Oracio Barbosa-García, Editor(s)

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