Plate location and recognition using Blob analisys

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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. © Springer International Publishing 2013.

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APA

Aguileta-Mendoza, A., & Rivera-Rovelo, J. (2013). Plate location and recognition using Blob analisys. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8276 LNCS, pp. 319–325). https://doi.org/10.1007/978-3-319-03176-7_41

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