Call for Paper - July 2022 Edition
IJCA solicits original research papers for the July 2022 Edition. Last date of manuscript submission is June 20, 2022. Read More

Skewed Character Recognition using Permutation Invariant RAS Transform

Print
PDF
IJCA Special Issue on Confluence 2012 - The Next Generation Information Technology Summit
© 2012 by IJCA Journal
CONFLUENCE - Number 1
Year of Publication: 2012
Authors:
A. V. Narasimha Rao
M. Ramanjaneyulu
M. Devaraju

Narasimha A v Rao, M Ramanjaneyulu and M Devaraju. Article: Skewed Character Recognition using Permutation Invariant RAS Transform. IJCA Special Issue on Confluence 2012 - The Next Generation Information Technology Summit CONFLUENCE(1):37-41, September 2012. Full text available. BibTeX

@article{key:article,
	author = {A.v. Narasimha Rao and M. Ramanjaneyulu and M. Devaraju},
	title = {Article: Skewed Character Recognition using Permutation Invariant RAS Transform},
	journal = {IJCA Special Issue on Confluence 2012 - The Next Generation Information Technology Summit},
	year = {2012},
	volume = {CONFLUENCE},
	number = {1},
	pages = {37-41},
	month = {September},
	note = {Full text available}
}

Abstract

Several applications of cognitive informatics are coupled with automatic acquisition and processing of data and images for recognition and classification. There are many algorithms with wide-ranging performance in pattern recognition. A computer recognizes a character as a pattern from its digital image or from a set of parameters picked from its digital representation. This paper explores an optimal algorithm for pattern and printed character recognition which improves the performance in our world of noise and multiple styles of font. This approach is based on a permutation invariant Rao Alaka Shift Transformation (RAST) and tests for several printed alphanumeric characters in three different fonts. A template of the character for comparison is generated, in the transformed domain, after applying RAST to the digital image of the character in the chosen fonts. Pattern recognition is attempted also by rotating the images by about 25 degrees on either side. Better recognition performance is expected of the proposed approach when compared with the spatial domain. The results obtained in this study are found to be very encouraging and promising.

References

  • S. Furui, "An overview of speaker recognition technology", ESCA Workshop on Automatic Speaker Recognition, Identification and Verification, pp. 1-9, 199.
  • Narasimha Rao. A. V, Srinivasa Rao K, M. Srinu Naik and Alakanandana. A " The Role of Permutation Invariant RAS Transform in the Machine Vision Based Object Identification", Proceedings of 4th National Conference on 'Applications of Emerging Technologies', Adhiyamman College of Engineering, Hosur, 4-5, April 2007.
  • A. V. Narasimha Rao, K. Srinivasa Rao & A. Alakanandana "Permutation Invariant Coding of Digital Data", Proceedings of IETE Golden Jubilee Symposium on Convergence of Technologies, IETE Hyderabad Centre, Hyderabad, 11-13th July, 2003.
  • Narasimha Rao A. V. , K. Srinivasa Rao & VSL Sowmya "Speaker Verification using Permutation Invariant Transform", Proceedings of National Conference on Recent Trends in Electronics & Communication, SUS College of Engineering & Technology, Tangori, Punjab, 10-11th April, 2008.
  • Narasimha Rao A. V. , Soundara Rajan K & Srinivasa Rao K. "Integrating Error Detection with Data Encryption Algorithm using Permutation Invariant Rao Alaka Shift Transform" ARPN Journal of Engineering and Applied Sciences, ISSN 1819-6608, Vol. 3, No. 5, October 2008.
  • M. D Wagh and S. C. Kanetkar, ' A class of Translation Invariant Transforms', IEEE transactions on Acoustics, Speech, Signal Processing, pp. 203-205, April 1977.
  • Rafael C. Gonzalez & Richard E. Woods, Digital Image Processing, second edition, pp 720-721, Pearson Education Inc. , 2002.
  • Rajan E. G,A. v. Narasimha Rao, "Role of GRT in Machine Vision in Factory Automation",Proceedings of National Conference on Intelligent Manufacturing systems,Feb,1998,Coimbatore
  • A. V. Narasimha Rao,"Fast Computing Transform for image Processing" Proceedings of XVII National Convention of Electronics & telecommunication Engineers, Hyderabad, October 2001.