• Kirti Tomar
• Jaimala Jha

The process of Image binarization is the parting of pixel values in 2 parts, white the same as background also black as the foreground. Thresholding acting as a major in the binarization of the images. Thresholding which can be classified by global as well as local. In the images by means of uniform contrast allocation of background as well as foreground such as document form of images, global form of thresholding is much better. In the despoiled document images, wherever significant noise / variation form background in disparity & exists the illumination, here present several pixels which can’t easily be classified as the foreground or background. This paper analyses the five thresholding techniques such as Otsu Thresholding, Kittler and Illingworth thresholding, structural symmetric stroke, local adaptive thresholding, and niblack thresholding based on average filtering method for general gray images, normal and abnormal documentation image scans. The proposed method was being verified making use of a dataset in a different way illuminated document images being subjected to additional type of recognition of text. Experimental outcome, being expressed as the Precision & Recall, PSNR, F-Measure values for gained text strings, are being promising also agrees the worth of proposed method.

document images binarization; Otsu Thresholding; Kittler method ; Locally Adaptive Thresholding; niblack thresholding based on average filtering.

"An Efficient Approach For Improved Scene Text In Disturbed Document Images Using Different Binarization Methods ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.242-248, June 2019, Available :http://www.jetir.org/papers/JETIR1907790.pdf

"An Efficient Approach For Improved Scene Text In Disturbed Document Images Using Different Binarization Methods ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp242-248, June 2019, Available at : http://www.jetir.org/papers/JETIR1907790.pdf