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A Pattern Recognition Algorithm for Continuous Tone Images

by Kshitiz Agarwal, Karm Veer Arya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 17
Year of Publication: 2010
Authors: Kshitiz Agarwal, Karm Veer Arya
10.5120/354-537

Kshitiz Agarwal, Karm Veer Arya . A Pattern Recognition Algorithm for Continuous Tone Images. International Journal of Computer Applications. 1, 17 ( February 2010), 91-93. DOI=10.5120/354-537

@article{ 10.5120/354-537,
author = { Kshitiz Agarwal, Karm Veer Arya },
title = { A Pattern Recognition Algorithm for Continuous Tone Images },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 17 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 91-93 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number17/354-537/ },
doi = { 10.5120/354-537 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:43:03.007735+05:30
%A Kshitiz Agarwal
%A Karm Veer Arya
%T A Pattern Recognition Algorithm for Continuous Tone Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 17
%P 91-93
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes a unique method of recognizing common patterns among various images. It makes use of signatures of images which enables it to overcome the problem of different features ordering and appearance of noisy and less expressive features. It discusses two different methods of finding common set of data among various signatures. It has been then concluded that the proposed algorithm would be very suitable for continuous tone images with high contrast patterns.

References
  1. Pattern recognition, Guest Editor's introduction, K.S. Fu, Purdue University, May 1976
  2. I.T. Jolliffe "Principle Component Analysis", Springer, New York, 2002
  3. S. Chen and Y. Zhu "Sub-pattern based principle component analysis", Pattern Recognition 37 (2004) 1081-1083
  4. K. Tan and S. Chen "Adaptively weighted sub-pattern PCA for face recognition, Neurocomputing 64 (2005) 505-511
  5. X. Tan, J. Liu and S. Chen "Sub-intrapersonal space analysis for face recognition, Neurocomputing 69 (2006) 1796-1801
  6. Kadappagari Vijaya Kumar and Atul Negi "SubXPCA and a generalization feature partitioning approach to principle component analysis", Pattern Recognition 41 (2008) 1398-1409.
  7. Chengjun Liu and Jian Yang "ICA Color space for pattern recognition", IEEE transactions on neural networks, vol 20, no. 2, February 2009.
  8. P. Comon "Independent component analysis, a new concept?", Signal process, vol. 36, pp 287-314, 1994
  9. J. Karhunen, E. Oja, L. Wang, R. Vigario and J. Joutsensalo "A class of neural networks for independent component analysis", IEEE trans. Neural Netw. Vol 8, no. 3, pp. 486-504, May 1997
  10. Zhang Xiayu, Yu Yongquan, Chen Baixing, Tan Xingxing and Ye Zhiping "Study on extension-based fuzzy pattern recognition", International conference on intelligent and advanced systems 2007
  11. Hong Lian "Adaptive feature learning for information pattern recognition", Proceeding of the international multi-conference on computing in global information theory (ICCGI'2007)
  12. T. Cormen, C. Leiserson, R. Rivest and C. Stien "Introductions to Algorithms", II edition, May 2001
Index Terms

Computer Science
Information Sciences

Keywords

Recognition Algorithm (DFS) (BFS)

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