REMOVE NOISE EFFECTS FROM DEGRADED DOCUMENT IMAGES USING MATLAB ALGORITHM

Abstract

 Digital images are subjected to blurring due to many hardware limitations such as atmospheric disturbance, device noise and poor focus quality. In order to reveal the detailed information carried in the digital image, image de-blurring or restoration is necessary. Image de-blurring have wide applications, from consumer photography, e.g., remove motion blur due to camera shake, to radar imaging and tomography, e.g., remove the effect of imaging system response. This research is aimed to provide a basic knowledge of image degradation and restoration process. Offline handwriting recognition approaches proceed by segmenting characters into smaller pieces which are recognized separately. The recognition result of a word is then the composition of the individually recognized parts. Inspired by results in cognitive psychology, researchers have begun to focus on holistic word recognition approaches. Here we present a holistic word recognition approach for degraded documents, which is motivated by the fact that for severely degraded documents a segmentation of words into characters will produce very poor results. The quality of the original documents does not allow us to recognize them with high accuracy - our goal here is to produce transcriptions that will allow successful retrieval of images, which has been shown to be feasible even in such noisy environments. We believe that this is the first systematic approach to recognizing words in historical manuscripts with extensive experiments. Our experiment is to clear the degraded documents using some filter approach. We will use wiener filter for removing noise partials from different images using wiener filter algorithm

Authors and Affiliations

Deepinder Kaur

Keywords

Related Articles

  Accelerometer Based Gesture Driven Embedded System for Differently Abled

 This document proposes an idea of an automated system based on accelerometer which can be very helpful for the differently abled patients. The limited number of pre through automated system and can be used very...

 ENHANCING PRIVACY FOR USERS USING LOCATION BASED SERVICES

 Location-based services (LBS) require users to continuously report their location to a potentially untrusted server to obtain services based on their location, which can expose them to privacy risks. Unfortunately...

 DESIGN AND DEVELOPMENT OF SOLAR TREE FOR DOMESTIC APPLICATIONS

 Flat or roof top mountings of PV systems require large area or land. Scarcity of land is greatest problem in cities and even in villages in India. Solar Power Tree provides better alternative to flat mounting of PV...

 An Innovative Cryptographical Scheme for Mobile Ad-Hoc Network Security using Certificate less Public key Cryptography

 A Mobile ad hoc Network (MANET) is a self-governing network comprised of free roaming nodes which communicate wireless by radio transmission. As MANET edge closer toward wide-spread deployment, security issues ha...

 Automation of Inter-Networked Banking and Teller Machine Operations Using Face Recognition

 In this article about biometric systems the general idea is to use of facial recognition to reinforce security on one of the oldest and most secure piece of technology that is still in use to date thus an Automati...

Download PDF file
  • EP ID EP127678
  • DOI -
  • Views 61
  • Downloads 0

How To Cite

Deepinder Kaur (0).  REMOVE NOISE EFFECTS FROM DEGRADED DOCUMENT IMAGES USING MATLAB ALGORITHM. International Journal of Engineering Sciences & Research Technology, 4(9), 544-549. https://europub.co.uk/articles/-A-127678