Abstrato

A Study and Analysis on Image Processing Techniques for Historical Document Preservation

Reka Durai , Dr.V.Thiagarasu

The preserved historical documents are degrading due to bad storage conditions and they are attacked by pests and insects. Digital image processing filtering techniques preserve the historical documents and corrupted historical documents are converted from rgb to gray image. Gaussian, salt and pepper noise are removed by using median, prewitt, wiener, average and laplacian filtering techniques. These filtering techniques are used to clean and enhance the documents. Depends on the noise density filtering algorithms get varied. Based on the noise level, this work compares the filtering techniques and observed that median, average and wiener filter methods perform better than laplacian and prewitt.