NDLI: Automatic Classifier Fusion for Produce Recognition

Content Provider	IEEE Xplore Digital Library
Author	Faria, F.A. dos Santos, J.A. Rocha, A. da S. Torres, R.
Copyright Year	2012
Abstract	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.
Starting Page	252
Ending Page	259
File Size	722119
Page Count	8
File Format	PDF
ISBN	9781467328029
ISSN	15301834
e-ISBN	9780769548296
DOI	10.1109/SIBGRAPI.2012.42
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-22
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Training Diversity reception Support vector machines Histograms Protocols Learning systems Diversity Measures Produce Recognition Ensemble of Classifiers
Content Type	Text
Resource Type	Article

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