As compared to scanners, cameras offer fast, flexible and non-contact document imaging, but with distortions like uneven shading and warped shape. Therefore, camera-captured document images need preprocessing steps like binarization and textline detection for dewarping so that traditional document image processing steps can be applied on them. Previous approaches of binarization and curled text...

In this paper, an image binarization method based on a new discriminant criterion is proposed. The criterion emphasizes much the homogeneity of the object gray level distribution and while intentionally de-emphasizes the heterogeneity of the background such that the new binarizing or thresholding method can overcome some shortcomings of famous Otsu’s method. Experimental results on the three re...

In computer vision and image processing, Otsu's method is used to automatically perform histogram shape-based image thresholding, or, the reduction of a graylevel image to a binary image. The algorithm assumes that the image to be thresholded contains two classes of pixels (e.g. for eground and background) then calculates the optimum threshold separating those two classes so that their combined...

This paper presents a new adaptive approach for the binarization and enhancement of degraded documents. The proposed method does not require any parameter tuning by the user and can deal with degradations which occur due to shadows, non-uniform illumination, low contrast, large signal-dependent noise, smear and strain. We follow several distinct steps: a pre-processing procedure using a low-pas...

Two critical steps in fingerprint recognition are binarization and thinning of the image. The need for real time processing motivates us to select local adaptive thresholding approach for the binarization step. We introduce a new hardware for this purpose based on pipeline architecture. We propose a formula for selecting an optimal block size for the thresholding purpose. We also present in thi...

In this paper, a combined automatic/interactive technology and algorithms for interpretation of color maps is proposed. Main stages of technology are: color image binarization, binary image vectorization and vectorized image object interpretation. Special scheme for automatic image vectorization as well as automatic object recognition techniques performed under operator control are proposed. Pr...