Improved variational methodology towards enhancement of marathi printed degraded documents

Abstract

Optical Character Recognition (OCR) system aims to translate scanned text to a machine understandable text. To do so, numerous tactics exist for several scripts and so far for good quality documents. Conversely, only a delimited permutation of the same has been investigated for degraded printed Marathi documents. This work offers learning which aims to discover and fetch out a marginal and competent policy of pre-processing in treating OCR for degraded printed Marathi documents. An effective estimation of the offered substitute has been considered by exposing it to documents having bleed-through, border smear, smear inside, low illuminations, unclearness etc. Proposed methodology’s results are examined in MATLAB R2015a. The work produces preprocessed images having better lucidity. Subsequent phases like segmentation, feature extraction, classification etc., offers better results with such preprocessed images having better clarity.