A Study on Various Classifier Techniques Used in Image Processing

Handling information, item, and picture grouping is a very significant and important task in image processing. Solving real-world problems using computer vision is an emerging trend and fruit classification is one such area. This classification using machine techniques are essential in supermarkets essentially at the point of sale(POS). Fruit classification has always posed inter and intraclass variations and appropriate data acquisition and feature representations are important. Various works have been carried out in classification methods and in recent year’s classifiers such as support vector machine, K nearest neighbor, artificial and convolution neural networks have been trending. This paper presents the state of art methods in fruit classification proposed by various researchers that also hold for applications such as fruit quality assessment and harvesting.