Desenvolvimento de um Sistema de Detecção de Placas Licenciadas

• Rafael A. A. Tomé UFG
• Arnold C. V. Lima UFG
• Gustavo T. Laureano UFG

Abstract

The automatic detection of license plates through images has been the subject of study for many years, but to this date there are no robust enough methods to handle different poses or that handle complex scenes in a satisfactory way. One of the main difficulties about the construction of a license plate detection system is modeling the visual pattern to be detected, this pattern can be ambiguous and have variable point of view, besides varying according to the legislation. This paper presents a method of detecting vehicle license plates using Haar features and Adaboost algorithm, which does not require direct modeling or definition of characteristics for the classification process. The proposed methodology was evaluated using the database from UFPR (Federal University of Paraná) and the results show the viability of the proposal.

Keywords: auto detection, license plates, vehicles, data modeling

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