Recover Degraded Document images Using Binarization Technique

In now a days,whole world is connected through the internet. The different types of data ,we can save,copy and backup in the digital form. But old data which is in the form of traditional paper. This old data plays important role in a major task.Many of the paper data is being degraded due to lack of reason. The front and rear data are mix up together so segmention of text from badly degraded document is very challenging task.To solve this problem by using binarization technique. In this paper ,we propose four binarization technique for recovering degraded document images.we firstly apply contrast inversion mechanism on degraded document images. The contrast map is then converted to grayscale image so as to clearly identify the text stroke from background and foreground pixels.Detected text is further segmented using local threshold method that is estimated based on intensities of detected text stroke edge pixel.Finally applying post processing to improve the quality of degraded document images.This binarization technique is simple,robust and efficient for recovering degraded document images. DOI: 10.17762/ijritcc2321-8169.150612