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Ottoman archives explorer
2009
ACM Journal on Computing and Cultural Heritage
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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Archives Explorer, a Content-Based Retrieval (CBR) system based on character recognition for printed and handwritten historical documents.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
doi:10.1145/1658346.1658348
fatcat:kihwabab25b4lhajjoj2bwqqcq