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

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.