Abstract
This work deals with plate location in an image and plate number recognition, which is done by detecting the plate area in the image and then applying a two phase processing: the phase one is to identify the digits (characters) in the plate region, and the second phase is to group them and analyze their properties. We use BLOB analisys for character location and grouping because plate characters have special properties that allows us to identify them from other objects without ambiguity. This (automatic) method can be used in several applications which range from parking or traffic control, to complex security systems.
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Aguileta-Mendoza, A., Rivera-Rovelo, J. (2013). Plate Location and Recognition Using Blob Analisys. In: Urzaiz, G., Ochoa, S.F., Bravo, J., Chen, L.L., Oliveira, J. (eds) Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction. Lecture Notes in Computer Science, vol 8276. Springer, Cham. https://doi.org/10.1007/978-3-319-03176-7_41
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DOI: https://doi.org/10.1007/978-3-319-03176-7_41
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03175-0
Online ISBN: 978-3-319-03176-7
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