Enhancing Handwritten Document Images Using Fuzzy Logic
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
The identification of handwritten letter taken by mobile phone, Camera (or) scanned images become one of the prominent area in research. In some cases such process may not good and produce poorly scanned text or text photo images, leads to an unreliable form. Majority of paper forms are filled by hands. Make the letters in clear view is one of the challenging area in Image Processing. Documents and files that were once stored physically on paper are now being converted into computerized form in order to facilitate faster additions, searches, and modifications, as well as to prevent the life of such records. Because of this, there is a great demand for software, which automatically extracts, analyze, recognize and store information from physical documents for later use. The handwritten document software capture was not possible for several years as the technology for such purpose did not exit. The main aim of this paper is to study and evaluate the different technique used for enhancing the letters in documents.
Authors and Affiliations
A. Annakarthiga, Dr. T. C. Rajkumar
Keywords
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- EP ID EP24610
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