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10 February 2006 Binary threshold algorithm for license plate character segmentation
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Proceedings Volume 6046, Fifth Symposium Optics in Industry; 60461H (2006) https://doi.org/10.1117/12.674551
Event: Fifth Symposium Optics in Industry, 2005, Santiago De Queretaro, Mexico
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.
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Luis Enrique Toledo and Francisco Javier Cuevas "Binary threshold algorithm for license plate character segmentation", Proc. SPIE 6046, Fifth Symposium Optics in Industry, 60461H (10 February 2006); https://doi.org/10.1117/12.674551
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