IMPROVING OCR BY EFFECTIVE PRE-PROCESSING AND SEGMENTATION FOR DEVANAGIRI SCRIPT:A QUANTIFIED STUDY

Dr. DEEPA GUPTA; LEEMA MADHU NAIR

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IMPROVING OCR BY EFFECTIVE PRE-PROCESSING AND SEGMENTATION FOR DEVANAGIRI SCRIPT:A QUANTIFIED STUDY

机译：通过有效的预处理和分段改进DEVANAGIRI脚本的OCR：定量研究

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Optical Character Recognition (OCR) system aims to convert optically scanned text image to a machine editable text form. Multiple approaches to preprocessing and segmentation exist for various scripts. However, only a restricted combination of the same ha

机译：光学字符识别（OCR）系统旨在将光学扫描的文本图像转换为机器可编辑的文本形式。对于各种脚本，存在多种预处理和分段方法。但是，只有相同的限制组合

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《Journal of Theoretical and Applied Information Technology》 |2013年第2期|共页
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Dr. DEEPA GUPTA; LEEMA MADHU NAIR;
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中图分类计算技术、计算机技术;
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4. Script independent text pre-processing and segmentation for OCR [C] . Sawant Archana S., Chougule D.G. International Conference on Electrical, Electronics, Signals, Communication and Optimization . 2015

机译：OCR的脚本独立文本预处理和分段
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6. An improved segmentation algorithm for quantification of myocardial infarction in contrast enhanced CMR images - validated in ex-vivo studies [O] . Felicia Seemann, Jane Tufvesson, Robert Jablonowski, 2014

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IMPROVING OCR BY EFFECTIVE PRE-PROCESSING AND SEGMENTATION FOR DEVANAGIRI SCRIPT:A QUANTIFIED STUDY

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