A Survey on Optical Character Recognition System

10/03/2017
by   Noman Islam, et al.
0

Optical Character Recognition (OCR) has been a topic of interest for many years. It is defined as the process of digitizing a document image into its constituent characters. Despite decades of intense research, developing OCR with capabilities comparable to that of human still remains an open challenge. Due to this challenging nature, researchers from industry and academic circles have directed their attentions towards Optical Character Recognition. Over the last few years, the number of academic laboratories and companies involved in research on Character Recognition has increased dramatically. This research aims at summarizing the research so far done in the field of OCR. It provides an overview of different aspects of OCR and discusses corresponding proposals aimed at resolving issues of OCR.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/29/2010

Kannada Character Recognition System A Review

Intensive research has been done on optical character recognition ocr an...
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
03/18/2020

Constraints in Developing a Complete Bengali Optical Character Recognition System

Technological advancement has led to digitizing hard copies of media eff...
research
11/05/2014

Optical Character Recognition, Using K-Nearest Neighbors

The problem of optical character recognition, OCR, has been widely discu...
research
01/13/2011

A Review of Research on Devnagari Character Recognition

English Character Recognition (CR) has been extensively studied in the l...
research
11/20/2017

Optical Character Recognition (OCR) for Telugu: Database, Algorithm and Application

Telugu is a Dravidian language spoken by more than 80 million people wor...
research
03/31/2022

Digitizing Historical Balance Sheet Data: A Practitioner's Guide

This paper discusses how to successfully digitize large-scale historical...

Please sign up or login with your details

Forgot password? Click here to reset