Pattern recognition in automotive plates

Security measures require to know which vehicles are either leaving or entering premises. To this end we have developed an algorithm which allows us to identify license plates in vehicles and compare them with a database. To this purpose we have used morphological signal processing. Morphological im...

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Bibliographic Details
Main Authors: Baez-Lopez, D., Valderrabano Gonzalez, A., Ramirez, J.M.
Format: Conference Proceeding
Language:English
Subjects:
Automotive engineering
Pattern recognition
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Summary:Security measures require to know which vehicles are either leaving or entering premises. To this end we have developed an algorithm which allows us to identify license plates in vehicles and compare them with a database. To this purpose we have used morphological signal processing. Morphological image processing is a technique that is becoming increasingly important for a wide range of image processing tasks. These tasks are performed by successive application of Minkowsky's primitive operations. The success or failure of this type of image processing is critically dependent on the efficiency with which these primitives are computed, the transformation type, and the structuring element used. In this paper we show an algorithm for pattern recognition using the minimal distance between shape spectrums (PECSTRUM), obtained from successive openings of binary images, with base on a structuring element invariant in rotation and translation.
DOI:10.1109/MWSCAS.1998.759495