Ottoman archives explorer: a retrieval system for digital Ottoman archives
Yalniz, I. Z.
Altingovde, I. S.
ACM Journal on Computing and Cultural Heritage
Association for Computing Machinery
8:1 - 8:20
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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Archives Explorer, a Content-Based Retrieval (CBR) system based on character recognition for printed and handwritten historical documents.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.
KeywordsContent-based retrieval (CBR)
Historical document analysis
Information retrieval (IR)
Optical character recognition (OCR)
Optical character recognition