Solid object recognition and classification has been an area of interest with the increasing environmental and economic concerns. Our work mainly concentrates on identification of bottles and classifying the same into one of several categories, like glass, metal, polystyrene, and low density polyethylene (LDPE). Using a combination of several standard image processing techniques like Principle Component Analysis (PCA), Hough Transforms (HT) and Rod Touch Analysis (RTA) we deduce an algorithm called the Bottle Recognition and Classification (BRC) to efficiently recognize and classify the bottles to various classes with good degree of speed and accuracy.

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Solid Object Detection Object Recognition Image Processing Principle Component Analysis Hough Transforms