DocumentCode
1204381
Title
Image-Based Retrieval and Identification of Ancient Coins
Author
Kampel, Martin ; Huber-Mork, Reinhold ; Zaharieva, Maia
Author_Institution
Vienna Univ. of Technol., Vienna
Volume
24
Issue
2
fYear
2009
Firstpage
26
Lastpage
34
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;
fLanguage
English
Journal_Title
Intelligent Systems, IEEE
Publisher
ieee
ISSN
1541-1672
Type
jour
DOI
10.1109/MIS.2009.29
Filename
4804821
Link To Document