Analysis of Template Matching Method Using Correlation Score
نویسنده
چکیده
105 www.erpublication.org Abstract— Template Matching is a high level machine-vision technique that identifies a specific part of an image that matches a predefined template image. Template matching is an essential task in image processing in many applications, including remote sensing, computer vision, medical imaging, and industrial inspection. In Template matching, small object is compared to a stored set of images. The detection and recognition of objects in different images is the main research topic in the computer vision area. Template matching is a mostly used pattern recognition method, especially in industrial inspection. Another important use of template matching is face localization. Face localization is the first step in any automatic recognition system where it is a spatial case of face detection. In this paper, our main objective is to propose an efficient template matching method on the basis of correlation score and analyze it with the Normalized Cross Correlation Method.
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