Novel Technique for Identification of False Coconuts to Avoid Genetic Diseases Using Classifiers

Identification of true coconuts is one of the critical tasks in the applications of Image Processing. There are several methods in identification but out of them classifiers play an important role in identification. In this paper, classifiers are used to identify the true coconuts based on template matching. Genetic diseases can be identified using surveyed classifiers. Fast PCA classifier is the best classifier in identifying false coconuts.