Manufacturing technology for counterfeit brand items has advanced in recent years, and it is becoming very difficult for humans to identify counterfeit products. In this paper, we propose an inspection system using image matching methods to realize the authenticity inspection of brand logos through image recognition. In the first experiment, we compare the similarity evaluation performance by NCC (Normalized Cross-Correlation) and POC (Phase-Only Correlation) using images of actual brand products. In the next experiment, we confirm the effectiveness of logo region detection processing using edge images as preprocessing of image matching with the aim of improving inspection accuracy of images containing many background components. Experimental results show that it is possible to separate genuine and fake more accurately by evaluating similarity by POC. Moreover, we confirmed that by adding the logo region detection processing, the background component of the image was reduced and highly accurate inspection was possible.