The fruit recognition system has so many applications. The fruit recognition system can be applied for educational purpose to enhanced learning, especially for small kids and Down syndrome patients, of fruits pattern recognition based on the fruit recognition result. It can be used in grocery store which makes the customers label their purchases using automatic fruit recognition based on computer vision.it is very difficult to enable a system for automatic fruit recognition based on images taken from camera.Many kind of fruits are subject to significant variation in color and texture, depending on how ripe they are. For example, Bananas range from being uniformly green, to yellow, to patchy and brown(1).The current approaches to invariant two-dimensional shape recognition include extraction of global image information using regular moments , boundary-based analysis via Fourier descriptors or autoregressive models , image representation by circular harmonic expansion, and syntactic approaches. A fundamental element of all these schemes is definition of a set of features for image representation and data reduction. Normally additional transformations are needed to achieve the desired invariant properties for the selected features. After invariant features are computed, they are input to a designed classification rule to decide a labeling for the underlying image(4). The fruits recognition system could be applied as an image contents descriptor which is able to describe the low level visual features or contents of the fruit images for the CBIR system. The most popular analys techniques that have been used for both recognition and classifications of two dimensional (2D) fruit images are color-based and shape-based analysis methods. However, different fruit images may have similar or identical color and shape values. Hence, using color or shape features analysis methods are still not robust and effective enough to identify and distinguish fruits imagessdgdfsgdfg