%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2012/07.15.23.52
%2 sid.inpe.br/sibgrapi/2012/07.15.23.52.54
%@doi 10.1109/SIBGRAPI.2012.42
%T Automatic Classifier Fusion for Produce Recognition
%D 2012
%A Faria, Fabio Augusto,
%A Santos, Jefersson Alex dos,
%A Rocha, Anderson,
%A Torres, Ricardo da Silva,
%@affiliation University of Campinas
%@affiliation University of Campinas
%@affiliation University of Campinas
%@affiliation University of Campinas
%E Freitas, Carla Maria Dal Sasso ,
%E Sarkar, Sudeep ,
%E Scopigno, Roberto ,
%E Silva, Luciano,
%B Conference on Graphics, Patterns and Images, 25 (SIBGRAPI)
%C Ouro Preto, MG, Brazil
%8 22-25 Aug. 2012
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K Recognition, Ensemble of Classifiers, Diversity Measures.
%X Recognizing different kinds of fruits and vegetables is a common task in supermarkets. This task, however, poses several challenges as it requires the identification of different species of a particular produce and also its variety. Usually, existing computer-based recognition approaches are not automatic and demand long-term and laborious prior training sessions. This paper presents a novel framework for classifier fusion aiming at supporting the automatic recognition of fruits and vegetables in a supermarket environment. The objective is to provide an effective mechanism for combining low-cost classifiers trained for specific classes of interest. The experiments performed demonstrate that the proposed framework yields better results than several related work found in the literature and represents a step forward automatic produce recognition in cashiers of supermarkets.
%@language en
%3 2012-sibgrapi-ffaria-vs-03.pdf