An Analytical Study of different Document Image Binarization Methods

01/30/2015
by   Mahua Nandy, et al.
0

Document image has been the area of research for a couple of decades because of its potential application in the area of text recognition, line recognition or any other shape recognition from the image. For most of these purposes binarization of image becomes mandatory as far as recognition is concerned. Throughout couple decades standard algorithms have already been developed for this purpose. Some of these algorithms are applicable to degraded image also. Our objective behind this work is to study the existing techniques, compare them in view of advantages and disadvantages and modify some of these algorithms to optimize time or performance.

READ FULL TEXT
research
09/16/2019

Document classification methods

Information on different fields which are collected by users requires ap...
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
12/13/2014

A survey of modern optical character recognition techniques

This report explores the latest advances in the field of digital documen...
research
12/30/2019

Decades of Jurimetrics

Jurimetrics: decades of history, decades to-be auspicious. A Brazilian p...
research
09/11/2015

OCR accuracy improvement on document images through a novel pre-processing approach

Digital camera and mobile document image acquisition are new trends aris...
research
10/09/2013

Neural perceptual model to global-local vision for recognition of the logical structure of administrative documents

This paper gives the definition of Transparent Neural Network "TNN" for ...
research
07/05/2017

Compiling LATEX to computer algebra-enabled HTML5

This document explains how to create or modify an existing LATEX documen...

Please sign up or login with your details

Forgot password? Click here to reset