Browsing by Author "Rani, Usha"

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    Degraded Document Binarization
    (International Conference on Advancements in Engineering and Technology (ICAET), 2017) Rani, Usha; Kaur, Amandeep; Joshan, Gurpreet Singh
    Document image binarization is first and very important step of Optical Character Recognition system. Binarization converts the document image into bi-level form.There exists many Document binarization techniques in which we have mainly one or two parameters. Output completely depends upon the values of these user defined parameters. One such parameter is window size in case of sliding window binarization techniques like Niblack;s, Bernsen's, Nick, Sauvola etc. In this proposed work we have tried to modify Sauvola's method is state of art
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    A new binarization method for degraded document images
    (Springer Science and Business Media B.V., 2019-09-17T00:00:00) Rani, Usha; Kaur, Amandeep; Josan, Gurpreet
    The binarization of image is an important stage in any document analysis system such as OCR. It converts the colored or grayscale images into monochromatic form to reduce the computational complexity in the next stages. In old document images in the presence of degradations (ink bleed, stains, smear, non-uniform illumination, low contrast, etc.) the separation of foreground and background becomes a challenging task. Most of the existing binarization techniques can handle only a subset of these degradations. We present a simple binarization method for old document images. The experimental results confirm that the proposed technique gives good binarization results in the presence of various degradations. It computes the Laplacian of an image to separate the foreground. The subtracted Laplacian image is binarized using a global threshold. Finally, the postprocessing using morphological functions is applied. The results are compared in terms of F-measure, PSNR, time complexity, and OCR based evaluations which shows that our method outperforms existing techniques like Niblack, Sauvola, Gatos, Zhou, NICK, Singh, and Bataineh. � 2019, Bharati Vidyapeeth's Institute of Computer Applications and Management.