Improved Variational Methodology Towards Enhancement of Marathi Printed Degraded Documents
1Manojkumar Sahebrao Sonawane, Ph.D*, Department of Computer Science, SGBAU, Maharashtra, India.
2Dr. Chitra A. Dhawale, Ph.D, Department of Computer Science, SGBAU, Maharashtra, India.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 1751-1755 | Volume-8 Issue-12, October 2019. | Retrieval Number: L32181081219/2019©BEIESP | DOI: 10.35940/ijitee.L3218.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Bleed-through, Degraded, Low Illuminations, Marathi, Preprocessing, Smear, Unclearness.
Scope of the Article: Image Processing and Pattern Recognition