Hybrid Pattern Matching With Normalization For Image Retrieval
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Abstract
Retrieval and querying of image in an efficient way is needed in order to access the visual content from large databases. Pattern matching plays a very critical role in identification of the images from a database lot. Since the performance of overall process of identification depends upon pattern matching techniques, the selection of appropriate pattern matching technique becomes more crucial. In this paper, a hybrid pattern matching technique is proposed. The proposed technique is based upon color, texture and radial symmetry Jointly which is more effective in dealing with the problem of image retrieval in terms of accuracy and efficiency. It is based on three pattern matching techniques where area selection is performed individually while removing redundancies. The experiments are performed in different scenarios using MATLAB and results so obtained give healthier accuracy. The proposed technique shows 68%, 42% and 11% improvement in comparison to existing colour, texture and radial based techniques.
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