Title :
Image-Based Retrieval and Identification of Ancient Coins
Author :
Kampel, Martin ; Huber-Mork, Reinhold ; Zaharieva, Maia
Author_Institution :
Vienna Univ. of Technol., Vienna
Abstract :
Reliable object identification is an essential task in the process of recognizing and tracing stolen cultural heritage. We investigate the feasibility of using computer-aided identification of ancient coins to search for a given coin on the Internet or in a digital repository. Because a coin´s shape is a unique feature, we first apply a shape descriptor to capture its characteristics. Then, we use local features to describe the die information. The approach presented here shows promise for reliably identifying objects in the area of cultural heritage.
Keywords :
Internet; history; image retrieval; Internet; ancient coins; computer-aided identification; cultural heritage; digital repository; image-based identification; image-based retrieval; Artificial intelligence; Cameras; Cultural differences; Image resolution; Image retrieval; Image segmentation; Lighting; Pixel; Shape measurement; Testing; coin identification; local features; object identification; shape descriptors;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2009.29