Abstract
This paper presents pattern identification in images which plays an important role in many real time applications worldwide. Different types of filters for pattern recognition have been proposed. But there seems to be growing interest in correlation based pattern recognitions. The reason for this is to design effective recognition system that needed to work on complex image processing applications. There is also a need to process large amount of images in real-time. The brain image processing applications are critical and are to be processed faster. In our approach, for this correlation filters are used which posses good mathematical fundamentals. The correlation filters can be effectively implemented either digitally or optodigitally. The pattern recognition is considered as the basic step for vision systems and efficiency is achieved using correlation filters.
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