CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

An Optical Character Recognition System from Printed Text and Text Image using Adaptive Neuro Fuzzy Inference System

by Mustain Billah, Sajjad Waheed, Abu Hanifa
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Number 16
Year of Publication: 2015
Authors: Mustain Billah, Sajjad Waheed, Abu Hanifa
10.5120/ijca2015907196

Mustain Billah, Sajjad Waheed, Abu Hanifa . An Optical Character Recognition System from Printed Text and Text Image using Adaptive Neuro Fuzzy Inference System. International Journal of Computer Applications. 130, 16 ( November 2015), 1-5. DOI=10.5120/ijca2015907196

@article{ 10.5120/ijca2015907196,
author = { Mustain Billah, Sajjad Waheed, Abu Hanifa },
title = { An Optical Character Recognition System from Printed Text and Text Image using Adaptive Neuro Fuzzy Inference System },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 130 },
number = { 16 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume130/number16/23290-2015907196/ },
doi = { 10.5120/ijca2015907196 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:25:44.505050+05:30
%A Mustain Billah
%A Sajjad Waheed
%A Abu Hanifa
%T An Optical Character Recognition System from Printed Text and Text Image using Adaptive Neuro Fuzzy Inference System
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 16
%P 1-5
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This is the age of digital systems. Now a days, everything is being computerized. Peoples are using mobile phones, laptop, computer, camera, notebook, pdf reader etc digital systems too much than ever. Use of papers and pen, printed books are decreasing. Rather peoples are using digital means of communication, study, documentation. Optical character recognition is an application of these digital systems. There are many ways and systems to recognize a character from a printed document. Many research works have been done for OCR in different languages using neural network, support vector machine, markov model. In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) based methodology has been proposed for recognizing characters from printed documents such as text image. Purpose of this paper is not making a software but proving the usability and effectivity of ANFIS for optical english character recognition and propose a anfis system with less error and more efficiency. Proposed system can detect every character perfectly wihout error.

References
  1. Oscar E. Agazzi and Shyh-shiaw Kuo. Hidden markov model based optical character recognition in the presence of deterministic transformations. 26(12):1813–1826.
  2. Rodney A. Brooks. Intelligence without representation. 47(1):139–159.
  3. Glenn L. Cash and Mehdi Hatamian. Optical character recognition by the method of moments. 39(3):291–310.
  4. Adriano Cruz and NCE Mestrado. Anfis: Adaptive neurofuzzy inference systems. IM, UFRJ, Mestrado NCE, 2009.
  5. Jyh-Shing Roger Jang. ANFIS: adaptive-network-based fuzzy inference system. 23(3):665–685.
  6. R. Jean-Marie. Method and apparatus for converting bitmap image documents to editable coded data using a standard notation to record document recognition ambiguities. Google Patents. US Patent 5,359,673.
  7. Bhagwandas Pannalal Lathi. Modern Digital and Analog Communication Systems 3e Osece. Oxford university press.
  8. Shunji Mori, Hirobumi Nishida, and Hiromitsu Yamada. Optical character recognition. John Wiley & Sons, Inc.
  9. Mrs VV Patil, Rajharsh Vishnu Sanap, and Rohini Babanrao Kharate. Optical character recognition using artificial neural network.
  10. GANESH S. SABLE and SHEETAL ARUN NIRVE. OPTIMIZATION OF OPTICAL CHARACTER RECOGNITION FOR PRINTED DEVANAGARI TEXT USING ANFIS TECHNIQUES.
  11. Simon Tong and Daphne Koller. Support vector machine active learning with applications to text classification. 2:45–66.
  12. Sun-Chong Wang. Artificial neural network. In Interdisciplinary Computing in Java Programming, pages 81–100. Springer.
Index Terms

Computer Science
Information Sciences

Keywords

Optical character recognition OCR adaptive neuro fuzzy inference system ANFIS Printed text artificial intelligence image processing

Powered by PhDFocusTM