Ottoman archives explorer: a retrieval system for digital Ottoman archives

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Ottoman_Archives_Explorer_A_Retrieval_System_for_Digital.pdf (10.73 MB)

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2009-12

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Abstract

This article presents Ottoman Archives Explorer, a Content-Based Retrieval (CBR) system based on character recognition for printed and handwritten historical documents. Several methods for character segmentation and recognition stages are investigated. In particular, sliding-window and histogram segmentation methods are coupled with recognition approaches using spatial features, neural networks, and a graph-based model. The prototype system provides CBR of document images using both example-based queries and a virtual keyboard to construct query words. © 2009 ACM.

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ACM Journal on Computing and Cultural Heritage

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Association for Computing Machinery

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Content-based retrieval (CBR), Historical document analysis, Information retrieval (IR), Optical character recognition (OCR), CBR, Character segmentation, Construct queries, Graph-based modeling, Histogram segmentation, Historical documents, Retrieval systems, Graphic methods, History, Optical character recognition, Query processing, Search engines

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http://hdl.handle.net/11693/22511

Published Version (Please cite this version)

http://dx.doi.org/10.1145/1658346.1658348

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Scholarly Publications - Computer Engineering

Language

English

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Article