Image Recognition of Unearthed Coins using Deep Learning

Abstract

Recently, AI technology called deep learning has been attracting attention in the field of image recognition. Image recognition is a process of estimating a corresponding image pattern from image information. Deep learning is a kind of neural network. It is a method of machine learning using a hierarchical neural network with a multi-layer structure. Deep learning has shown great results in pattern recognition. In this study, we consider the classification of unearthed coins using deep learning. There are many types of unearthed coins to be excavated from a ruin. However, the classification of unearthed coins is even difficult task for archaeological experts. The objective of this research is to conduct studies into the classification of unearthed coins by deep learning. If excavated coins can be classified by computer image recognition, it will be very useful in numismatics.