NDLI: Automatic classification of archaeological pottery sherds

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Journal on Computing and Cultural Heritage (JOCCH) : Volume 4

Journal on Computing and Cultural Heritage (JOCCH) : Volume 3

Journal on Computing and Cultural Heritage (JOCCH) : Volume 2

Journal on Computing and Cultural Heritage (JOCCH) : Volume 1

Automatic classification of archaeological pottery sherds

Content Provider	ACM Digital Library
Author	Makridis, Michael Daras, Petros
Copyright Year	2013
Abstract	This article presents a novel technique for automatic archaeological sherd classification. Sherds that are found in the field usually have little to no visible textual information such as symbols, graphs, or marks on them. This makes manual classification an extremely difficult and time-consuming task for conservators and archaeologists. For a bunch of sherds found in the field, an expert identifies different classes and indicates at least one representative sherd for each class (training sample). The proposed technique uses the representative sherds in order to correctly classify the remaining sherds. For each sherd, local features based on color and texture information are extracted and are then transformed into a global vector that describes the whole sherd image, using a new bag of words technique. Finally, a feature selection algorithm is applied that locates features with high discriminative power. Extensive experiments were performed in order to verify the effectiveness of the proposed technique and show very promising results.
Starting Page	1
Ending Page	21
Page Count	21
File Format	PDF
ISSN	15564673
e-ISSN	15564711
DOI	10.1145/2399180.2399183
Journal	Journal on Computing and Cultural Heritage (JOCCH)
Volume Number	5
Issue Number	4
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-01-09
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Bag of words Classification K-nearest neighbor Archaeological sherds Feature selection Local binary patterns
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Conservation Computer Science Applications Information Systems

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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