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Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 11, November 2015
A Comprehensive Survey on Binarization of Degraded Document Images
Aparna Patil | Deepak Gupta 
Abstract: In this digital world of technology, we are interconnected to each other via a soft and strong internet medium. Our Entire data, being in a digital world, is available in the form of soft copies of documents. With this, we can update, store, backup and preserve the soft copies of our documents. This is the case with the latest data, but going towards our old traditional data, which is available only on hard copies of the paper, we come across a lot of problems while preserving such degraded copies of data. Many times the old and ancient traditional documents play a vital role in our day to day life. Most of the papers containing our data get degraded due to lack of attention and improper handling and preservation. Most commonly seen degradation of such papers is interference of the text written on the front and back of the papers. In order to make this interfered front end data separate from rear page data many researchers have been studying and proposing binarization of the degraded document methodology. Here we study and analyze various binarization techniques proposed previously and then propose the new and innovative technique for the same. We create the binarized image of the degraded image through some intermediate steps. Ultimately, the binarized image will be next processed by the post processing module. The final output of entire process will generate a clear and binarized image with foreground text clearly seen without interference.
Keywords: Image contrast, document degradation, adaptive binarization, document image processing, degraded document binarization, pixel classification
Edition: Volume 4 Issue 11, November 2015,
Pages: 921 - 925