Noise Removal Technique for Document Images
نویسندگان
چکیده
The documents may contain noise at the time of scanning, transmission or during converting into it in digital form. be categorized after finding features and find same patterns document image order to obtain accurate method for their elimination. removal from is an important phase development high-quality Optical Character Recognition (OCR) system. To make this possible, paper presents a robust noised natural images. As per proposed algorithm, connected black pixels are identified determined number they contained. Then collected data, density below which all represent calculated. Those having value less then calculated values removed. results approach were tested against Weiner, Median, Average filters. standard performance measures such as PSNR, F-measure NRM 22.77 dB, 82.36 1.09 test image1, 22.46 96.63% 1.409 image2, 22.79 96.22% 0.7927 image3, 24.01 0.3739 image4, 24.64 97.7949, .4833 image5. obtained better compare average, Weiner Median
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ژورنال
عنوان ژورنال: Journal of multimedia information system
سال: 2023
ISSN: ['2383-7632']
DOI: https://doi.org/10.33851/jmis.2023.10.1.1