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Automatic script identification from document images using cluster-based templates

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4 Author(s)
J. Hochberg ; Los Alamos Nat. Lab., NM, USA ; P. Kelly ; T. Thomas ; L. Kerns

We describe an automated script identification system for typeset document images. Templates for each script are created by clustering textual symbols from a training set. Symbols from new images are compared to the templates to find the best script. Our current system processes thirteen scripts with minimal preprocessing and high accuracy

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:19 ,  Issue: 2 )