  Object recognition is still an impediment in the field of computer vision and
multimedia retrieval.Defining an object model is a critical task. Shape
information of an object play a critical role in the process of object
recognition. Extraction of boundary information of an object from the
multimedia data and classifying this information with associated objects is the
primary step towards object recognition. Rasters play an important role while
computing object boundary. The trade-off lies with the dimensionality of the
object versus computational cost while achieving maximum efficiency. In this
treatise an attempt is made to evaluate the performance of circular and spiral
raster models in terms of average retrieval efficiency and computational cost.
