Intra-class Recognition of Fruits using Color and Texture Features with Neural Classifiers

Susovan Jana; Ranjan Parekh

Research Article

Intra-class Recognition of Fruits using Color and Texture Features with Neural Classifiers

by Susovan Jana, Ranjan Parekh

International Journal of Computer Applications

Foundation of Computer Science (FCS), NY, USA

Volume 148 - Issue 11

Published: Aug 2016

Authors: Susovan Jana, Ranjan Parekh

10.5120/ijca2016911283

PDF

Susovan Jana, Ranjan Parekh . Intra-class Recognition of Fruits using Color and Texture Features with Neural Classifiers. International Journal of Computer Applications. 148, 11 (Aug 2016), 1-6. DOI=10.5120/ijca2016911283

                        @article{ 10.5120/ijca2016911283,
                        author  = { Susovan Jana,Ranjan Parekh },
                        title   = { Intra-class Recognition of Fruits using Color and Texture Features with Neural Classifiers },
                        journal = { International Journal of Computer Applications },
                        year    = { 2016 },
                        volume  = { 148 },
                        number  = { 11 },
                        pages   = { 1-6 },
                        doi     = { 10.5120/ijca2016911283 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }

                        %0 Journal Article
                        %D 2016
                        %A Susovan Jana
                        %A Ranjan Parekh
                        %T Intra-class Recognition of Fruits using Color and Texture Features with Neural Classifiers%T 
                        %J International Journal of Computer Applications
                        %V 148
                        %N 11
                        %P 1-6
                        %R 10.5120/ijca2016911283
                        %I Foundation of Computer Science (FCS), NY, USA

Abstract

Intra-class recognition of fruits using image processing and pattern recognition techniques, is a challenging task mainly because sub-types of the same fruit show a large amount of similarities between each other and hence more difficult to distinguish than when different types of fruits are involved (inter-class). The problem becomes more acute when the camera viewpoint also changes which tend to change the known characteristics of the fruits like contour shape. To solve this problem, this paper proposes a view point invariant solution for intra-class recognition of fruits by combining color and texture features and using a Neural Network (NN) classifier. Experimentations done on a dataset of 270 fruit images show satisfactory performance across different fruit types and sub-types.

References

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Index Terms

Computer Science

Information Sciences

No index terms available.

Keywords

Color Histogram Texture features Gray Level Co-occurrence Matrix Neural Network