Recognition of Fruits using Multiple Features with Neural Classifiers

Abstract

This paper proposes an efficient fusion of color, texture and shape features for fruit recognition. The recognition of fruits using image processing and pattern recognition techniques is a challenging task mainly because sub-types of the same fruit show a lot of similarities between each other and hence more difficult to distinguish than when different types of fruits are involved (inter-class).However, different fruit images may have similar or identical color and shape values. Hence, using color features and shape features analysis methods are still not tough and effectual enough to identify and distinguish fruits images. A novel Fruit recognition organism has been proposed, which mingle three features analysis techniques: color-based, shape based along with size-based in classify to increase an accuracy of recognition.