CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Classification of Trees by Pattern Recognition

by Janmenjoy Nayak, Ashanta Ranjan Routray, Munesh Chandra Adhikary
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 19 - Number 3
Year of Publication: 2011
Authors: Janmenjoy Nayak, Ashanta Ranjan Routray, Munesh Chandra Adhikary
10.5120/2344-3064

Janmenjoy Nayak, Ashanta Ranjan Routray, Munesh Chandra Adhikary . Classification of Trees by Pattern Recognition. International Journal of Computer Applications. 19, 3 ( April 2011), 10-14. DOI=10.5120/2344-3064

@article{ 10.5120/2344-3064,
author = { Janmenjoy Nayak, Ashanta Ranjan Routray, Munesh Chandra Adhikary },
title = { Classification of Trees by Pattern Recognition },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 19 },
number = { 3 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 10-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume19/number3/2344-3064/ },
doi = { 10.5120/2344-3064 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:06:00.471768+05:30
%A Janmenjoy Nayak
%A Ashanta Ranjan Routray
%A Munesh Chandra Adhikary
%T Classification of Trees by Pattern Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 19
%N 3
%P 10-14
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Pattern recognition has become more & more popular and it induces attractive attention coming from a wider areas. Pattern recognition is able to describe the actual problems via mathematical models. In this paper, we are classifying various south east trees by the help of pattern recognition. The training data are the cone and needle length for which we can easily classify the corresponding trees. This paper reviews the basic pattern recognition procedures for classifying various trees by taking their patterns.

References
  1. Editorial, Advances in Pattern Recognition, Pattern Recognition Letters 26,395-398, 2005
  2. T. Pavlidis. Structural Pattern Recognition. Springer Verlag, Berlin Heidelberg New York, 1977.
  3. Gonzalez, R.C.Thomas, M.G. Syntatic Pattern Recognition: An Introduction, Addison Wesley, Reading, MA, 1978
  4. Watanabe, Pattern Recognition: Human and Mechanical.Wiley, New York, 1985
  5. Srihari, S.N., Covindaraju, Pattern recognition, Chapman & Hall, London, 1034-1041, 1993
  6. B. Ripley, Pattern Recognition and Neural Networks, Cambridge University Press, Cambridge, 1996
  7. Towell G., Shawlik J.W. (1994): Knowledge-based artificial neural networks. Artificial Intelligence, 70 (1-2): 119-165 (October).
  8. M.petrou, Learning in pattern recognition: some thoughts, Pattern Recognition Letters 22,3-13, 2001
  9. Frank T.Allen*,Jason M.kinser, H. John Gaulfield, A neural bridge from syntactic pattern recognition to statistical pattern recognition ,Neural Networks 12, 519-526, 1999
  10. B. Verma (1997), “Fast Training of Multilayer Perceptrons.” IEEE Transactions on Neural Networks 8 (6): 1314-1320.
  11. D. W. Ruck, S. K. Rogers and M. Kabrisky (1990a). “Feature selection using a multilayer perceptron.” Journal of Neural Network Computing 2 (2): 40-48.
  12. Robert, L.G., 1965, Machine perception of three-dimensional solids. Tippett,J.T. et al.(Eds), Optical and Electro Optical Information Processing. MIT Press,Cambrige,MA, pp.159-197,1965
  13. Guzman, A. Decomposition of a visual scene into three dimensional bodies , AFIPS Conference Proceeding s. Thomplson,Washington,DC, Vol 33,pp.291-304,1968
  14. Alan Wee_Chung Liew, Hong Yan,Mengsu Yang, Pattern Recognition techniques for the emerging field of bioinformatics:A review, Pattern Recognition, 2005
  15. Pattern recognition applied to mineral characterization of Brazilian coffees and sugar-cane spirits, Mirian C. santos,Sherlan G. Lemos, Ana Rita A. Nogueira , SPECTROCHIMICA ACTA PART B ,2005
  16. Bezdek, J.C. and S.K. Pal, Eds , Fuzzy Models for pattern recognition. IEEE Press New York, 1992
  17. Keller,J.M., Fuzzy sets in computer vision. Proc. VI IFSA World Congress, Sap Paulo, Brazil, Vol.I, 7-10, 1995
  18. Marr, D.Vision. W.H. Freeman, San Francisco, CA, 1982 Witold pedrycz, Special issue on fuzzy set technology in pattern recognition, Pattern Recognition Letters, 1996.
Index Terms

Computer Science
Information Sciences

Keywords

Needle Cone Z-score Normalization Feed forward Neural Network

Powered by PhDFocusTM