OCR Post-processing Using Weighted Finite-State Transducers


A new approach for Stochastic Error-Correcting Language Modeling based on Weighted Finite-State Transducers (WFSTs) is proposed as a method to post-process the results of an optical character recognizer (OCR). Instead of using the recognized string as an input to the transducer, in our approach the complete set of OCR hypotheses, a sequence of vectors of a… (More)
DOI: 10.1109/ICPR.2010.498


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