Application of Gaussian as Edge Detector for Image Enhancement of Ancient Manuscripts

摘要

Binarization is an essential step for the Digitization of Ancient Manuscript images. Degradations in the manuscripts, such as, uneven light, low complexity, smears and high noise densities frequently make thresholding of the manuscript images a troublesome task. The purpose of study is to preserve the information contained in documents in digital form. To improve the accuracy of machine reading for camera-based Manuscript images, a simple and novel approach has been proposed based on Difference of Gaussians: a second order edge detector, followed by modified Niblack's local thresholding. The proposed strategy has been correlated with existing techniques. The numerical result stating average PSNR value 19.21dB validates that the performance of proposed method is superior to other five well known binarization techniques.