Correcting optical character recognition result via a novel approach

Otman Maarouf, Rachid El Ayachi, Mohamed Biniz


Optical character recognition (OCR) is a recognition system used to recognize the substance of a checked picture. This system gives erroneous results, which necessitates a post-treatment, for the sentence correction. In this paper, we proposed a new method for syntactic and semantic correction of sentences it is based on the frequency of two correct words in the sentence and a recursive technique. This approach starts with the frequency calculation of each two words successive in the corpora, the words that have the greatest frequency build a correction center. We found 98% using our approach when we used the noisy channel. Further, we obtained 96% using the same corpus in the same conditions.


Correction center; Natural language processing; Optical character recognition; Recursive technique; Sentences correction; Tifinagh

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