Abstract
A system for finding and recognizing car license plates is presented. The finding of the plates is based on the analysis of connected components of four different binarizations of the image. No assumptions are made about illumination and camera angle, and only mild assumptions regarding the size of the plate in the image are made. Recognition is performed by means of Hidden Markov Models. Experiments on a database of Spanish number plates show the feasibility of the proposed approach.
This work has been supported by the Spanish Ministerio de Ciencia y Tecnología and FEDER under grant TIC2002-02684.
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Llorens, D., Marzal, A., Palazón, V., Vilar, J.M. (2005). Car License Plates Extraction and Recognition Based on Connected Components Analysis and HMM Decoding. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_69
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DOI: https://doi.org/10.1007/11492429_69
Publisher Name: Springer, Berlin, Heidelberg
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