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http://dx.doi.org/10.5762/KAIS.2019.20.9.1

Two-dimensional Automatic Transformation Template Matching for Image Recognition  

Han, Young-Mo (Department of Computer Engineering, Hanyang Cyber University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.20, no.9, 2019 , pp. 1-6 More about this Journal
Abstract
One method for image recognition is template matching. In conventional template matching, the block matching algorithm (BMA) is performed while changing the two-dimensional translational displacement of the template within a given matching image. The template size and shape do not change during the BMA. Since only two-dimensional translational displacement is considered, the success rate decreases if the size and direction of the object do not match in the template and the matching image. In this paper, a variable is added to adjust the two-dimensional direction and size of the template, and the optimal value of the variable is automatically calculated in the block corresponding to each two-dimensional translational displacement. Using the calculated optimal value, the template is automatically transformed into an optimal template for each block. The matching error value of each block is then calculated based on the automatically deformed template. Therefore, a more stable result can be obtained for the difference in direction and size. For ease of use, this study focuses on designing the algorithm in a closed form that does not require additional information beyond the template image, such as distance information.
Keywords
Image-Recognition; Template-Matching; Two-Dimensional; Automatic-Transformation; Orthographic-Projection;
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