Fast Template Matching with Pixel-Based Multi-Class Pattern Classification

Abstract

We propose a method for distinguishing multiple objects. A general template matching algorithm essentially has an ability of classifying two-class patterns, one is a target pattern and the other is a non-target pattern. This basic ability is created from the fact that even one pixel can identifying patterns. By focusing this point, in this paper, we propose a new template matching method which has high ability of classification of multiple patterns simultaneously. Experimental results have shown the recognition rate of the proposed method was 97.0% and processing time of that was 7.1sec.