K-Algorithm A Modified Technique for Noise Removal in Handwritten Documents

06/06/2013
by   Kanika Bansal, et al.
0

OCR has been an active research area since last few decades. OCR performs the recognition of the text in the scanned document image and converts it into editable form. The OCR process can have several stages like pre-processing, segmentation, recognition and post processing. The pre-processing stage is a crucial stage for the success of OCR, which mainly deals with noise removal. In the present paper, a modified technique for noise removal named as K-Algorithm has been proposed, which has two stages as filtering and binarization. The proposed technique shows improvised results in comparison to median filtering technique.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/21/2014

Pre-processing of Domain Ontology Graph Generation System in Punjabi

This paper describes pre-processing phase of ontology graph generation s...
research
05/31/2020

Modified Segmentation Algorithm for Recognition of Older Geez Scripts Written on Vellum

Recognition of handwritten document aims at transforming document images...
research
04/11/2015

High Density Noise Removal by Cascading Algorithms

An advanced non-linear cascading filter algorithm for the removal of hig...
research
08/09/2014

Automatic Removal of Marginal Annotations in Printed Text Document

Recovering the original printed texts from a document with added handwri...
research
09/06/2017

Automatic Document Image Binarization using Bayesian Optimization

Document image binarization is often a challenging task due to various f...
research
07/09/2017

Local Activity-tuned Image Filtering for Noise Removal and Image Smoothing

In this paper, two local activity-tuned filtering frameworks are propose...
research
01/23/2020

MRI Banding Removal via Adversarial Training

MRI images reconstructed from sub-sampled data using deep learning techn...

Please sign up or login with your details

Forgot password? Click here to reset