Article

OCR for printed Kannada text to machine editable format using database approach

Authors:

ICAI'08: Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information

Pages 322 - 325

Published: 24 June 2008 Publication History

Abstract

This paper describes an Optical Character Recognition (OCR) system for printed text documents in Kannada, a South Indian language. The proposed OCR system for the recognition of printed Kannada text, which can handle all types of Kannada characters. The system first extracts image of Kannada scripts, then from the image to line segmentation then segments the words into sub-character level pieces. For character recognition we have used database approach. The level of accuracy reached to 100%.

References

[1]

R SANJEEV KUNTE and R D SUDHAKER SAMUEL "A simple and efficient optical character recognition system for basic symbols in printed Kannada text" by.

Google Scholar

[2]

"Hidden Markov Models for Online Handwritten Tamil Word Recognition" Bharath A, Sriganesh Madhvanath, HP Laboratories India HPL-2007-108, July 6, 2007.

Google Scholar

[3]

T V ASHWIN and P S SASTRY "A font and size-independent OCR system for printed Kannada documents using support vector machines", Department of Electrical Engineering, Indian Institute of Science, Bangalore 560 012, India.

Google Scholar

[4]

Rohana K. Rajapakse, A. Ruvan Weerasinghe "A Neural Network based character recognition system for Sinhala Script", Department of Statistics and Computer Science, University of Colombo.

Google Scholar

[5]

SEETHALAKSHMI R "Optical Character Recognition for printed Tamil text using Unicode", Thanjavur, Tamil Nadu.

Google Scholar

Cited By

View all

Santhosh RSrinivasa GGopalan KThampi S(2012)A compact feature set for recognition of handwritten numerals and vowels in the Kanarese scriptProceedings of the International Conference on Advances in Computing, Communications and Informatics10.1145/2345396.2345527(805-811)Online publication date: 3-Aug-2012
https://dl.acm.org/doi/10.1145/2345396.2345527

Index Terms

OCR for printed Kannada text to machine editable format using database approach
1. Applied computing
  1. Document management and text processing
    1. Document capture
      1. Graphics recognition and interpretation
      2. Optical character recognition
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Interest point and salient region detections
      2. Computer vision tasks

Recommendations

OCR for printed Kannada text to machine editable format using database approach

This paper describes an Optical Character Recognition (OCR) system for printed text documents in Kannada, a South Indian language. The proposed OCR system for the recognition of printed Kannada text, which can handle all types of Kannada characters. The ...
A segmentation-free approach to text recognition with application to Arabic text
Printed Text Image Database for Sindhi OCR

Document Image Understanding (DIU) and Electronic Document Management are active fields of research involving image understanding, interpretation, efficient handling, and routing of documents as well as their retrieval. Research on most of the ...

Comments

Information & Contributors

Information

Published In

ICAI'08: Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information

June 2008

569 pages

ISBN:9789606766770

Editors:
Luige Vladareanu
Senior Scientific Researcher of Romanian Academy, Romania
,
Veturia Chiroiu
Department of Deformable MediaRomanian Academy, Romania
,
Polidor Bratu
ICECON, Romania
,
Ion Magheti
Politehnica University of Bucharest, Romania

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Stevens Point, Wisconsin, United States

Publication History

Published: 24 June 2008

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 16 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Santhosh RSrinivasa GGopalan KThampi S(2012)A compact feature set for recognition of handwritten numerals and vowels in the Kanarese scriptProceedings of the International Conference on Advances in Computing, Communications and Informatics10.1145/2345396.2345527(805-811)Online publication date: 3-Aug-2012
https://dl.acm.org/doi/10.1145/2345396.2345527

View Options

View options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations