Ottoman archives explorer: A retrieval system for digital Ottoman archives

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2009-12-01
Yalniz, Ismet Zeki
Altıngövde, İsmail Sengör
Güdükbay, Uvgur
Ulusoy, Özgür
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Archives Explorer, a Content-Based Retrieval (CBR) system based on character recognition for printed and handwritten historical documents.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.
Journal on Computing and Cultural Heritage

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Citation Formats
I. Z. Yalniz, İ. S. Altıngövde, U. Güdükbay, and Ö. Ulusoy, “Ottoman archives explorer: A retrieval system for digital Ottoman archives,” Journal on Computing and Cultural Heritage, pp. 0–0, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/47823.