Siti Norul Huda Sheikh Abdullah1, Saad M. Ismail1,2, Mohammad Kamrul Hasan1,*, Palaiahnakote Shivakumara3
CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3815-3832, 2021, DOI:10.32604/cmc.2021.014610
- 01 March 2021
Abstract Achieving a good recognition rate for degraded document images is difficult as degraded document images suffer from low contrast, bleed-through, and nonuniform illumination effects. Unlike the existing baseline thresholding techniques that use fixed thresholds and windows, the proposed method introduces a concept for obtaining dynamic windows according to the image content to achieve better binarization. To enhance a low-contrast image, we proposed a new mean histogram stretching method for suppressing noisy pixels in the background and, simultaneously, increasing pixel contrast at edges or near edges, which results in an enhanced image. For the enhanced image, More >
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