Ottoman archives explorer: A retrieval system for digital Ottoman archives

  • Authors:
  • Ismet Zeki Yalniz;Ismail Sengor Altingovde;Uğur Güdükbay;Özgür Ulusoy

  • Affiliations:
  • Bilkent University, Ankara, Turkey;Bilkent University, Ankara, Turkey;Bilkent University, Ankara, Turkey;Bilkent University, Ankara, Turkey

  • Venue:
  • Journal on Computing and Cultural Heritage (JOCCH)
  • Year:
  • 2010

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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Archives Explorer, a Content-Based Retrieval (CBR) system based on character recognition for printed and handwritten historical documents.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.