This paper introduces a fast and reliable object detection method for situations in which a target object is surrounded by similar objects. Sample image sets of the target object and similar objects are prepared in advance. And pixels that maximize the separability between these two classes are automatically selected. Robust image matching for similar objects is achieved using these pixels. In addition, processing time for image matching is reduced by using a small number of pixels. Through experiments using 400 actual images, a recognition success rate of 98.5% was achieved by using approximately 0.5% of whole pixels of the template image.