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Reseach Article

Using Feature Extraction for Human Footprints Recognition

by Khamael Abbas Al-dulaimi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 3
Year of Publication: 2013
Authors: Khamael Abbas Al-dulaimi
10.5120/10617-5339

Khamael Abbas Al-dulaimi . Using Feature Extraction for Human Footprints Recognition. International Journal of Computer Applications. 64, 3 ( February 2013), 39-44. DOI=10.5120/10617-5339

@article{ 10.5120/10617-5339,
author = { Khamael Abbas Al-dulaimi },
title = { Using Feature Extraction for Human Footprints Recognition },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 3 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 39-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number3/10617-5339/ },
doi = { 10.5120/10617-5339 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:15:29.050582+05:30
%A Khamael Abbas Al-dulaimi
%T Using Feature Extraction for Human Footprints Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 3
%P 39-44
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a robust technique for identifying and recognize human-footprint images is presented. There are many methods for footprint Recognition, but most of them require segmentation or connected component analysis. . The Recognition process utilizes the determinant value that produces the features for the human-footprint. Image's determinants values are computed, by divided image into blocks then deigned Threshold (T) to extract feature. The least square criterion is then utilized to determine the similarity between the existed (in Database file) footprints with a new query footprint's images.

References
  1. S. Liu and M. Silverman, "A practical guide to biometric security technology", IEEE IT Pro, pp. 27-32, Jan. /Feb. , 2001.
  2. L. C. Jain et al. , Ed. , Intelligent Biometric Techniques in Fingerprint and Face Recognition. Boca Raton, FL: CRC Press, 1999.
  3. V. D. Ambeth Kumar , Chennai, India," Legacy of Footprints Recognition- A Review" International Journal of Computer Applications (0975 – 8887) Volume 35– No. 11, December 2011 9
  4. V. D. Ambeth Kumar1 M. "Footprint Recognition using Modified Sequential Haar Energy Transform (MSHET)", Ramakrishnan Research scholar in sathyabama university, Chennai, Tamil Nadu- 600 119, India. Professor and Head of Department Of Information Technologies, Velammal Engineering College, Chennai, Tamil Nadu.
  5. Young W. Woo "Performance Evaluation of Binarizations of Scanned Insect Footprints", Division of Computer & Visual Engineering College of Engineering, Dongeui University San 24, Gaya-Dong, Pusanjin-Gu, Pusan, 614-714, Korea
  6. Joe D. Hoffman ,"Numerical Methods for Engineers and Scientists"Second Edition Revised and Expanded Department of Mechanical Engineering Purdue University West Lafayette, Indiana MARCEL DEKKER Copyright © 2001 by Marcel Dekker, Inc. All Rights Reserved.
  7. J. Hong and H. J. Wolfson, "An Improved Model-Based Matching Method Using Footprints," Robotics Report 137, Computer Science Div. , Courant Inst. of Math. , N W ,1987
  8. R. R. Coifman and L. Donoho, "Translation Invariant Denoising," Dept. Statist. , Stanford Univ. , Tech. Rep. 475, 1995.
  9. K. Ramchandram and M. Vetterli, "Best wavelet packet bases in a ratedistortion sense," IEEE Trans. Image Processing, vol. 2, pp. 160–175, Apr. 1993.
  10. D. L. Donoho and P. B. Stark, "Uncertainty principles and signal recovery," SIAM J. Appl. Math. , vol. 49/3, pp. 906–931, June 1989.
  11. M. Elad and A. M. Bruckstein, "On sparse signal representations," in IEEE Int. Conf. Image Processing, Thessaloniki, Greece, Oct. 2001.
  12. M. M. Goodwin and M. Vetterli, "Matching pursuit and atomic signal models based on recursive filter banks," IEEE Trans. Signal Processing, vol. 47, pp. 1890–1902, July 1999.
  13. V. D. Ambeth Kumar and M. Ramakrishan ,"Footprint Recognition using Modified Sequential Haar Energy Transform (MSHET)", Intl. Journal of Computer science Issuse,Vol-7,Issuse 3,No. 5,May 2010.
  14. Jain AK, Ross A, Prabhakar S (2004) An introduction to biometric recognition. IEEE Trans Circuits Syst Video Technol Special Issue Image Video based Biometrics 14(1):4–20
  15. Zhang D, Kong A, You J, Wong M (2003) Online palmprint identification. IEEE Trans Pattern Anal Mach Intell 25(9):1041–1050
  16. Zhang D, Guo ZH, Lu GM, Zhang L, Zuo WM (2010) An online system of multispectral palmprint verification. IEEE Trans Instrum Meas 59(2):480–490
  17. K. Nakajima, Y. Mizukami, K. Tanaka, and T. Tamura, "Foot-Based Personal Recognition", IEEE: Tr. On Biomedical Engineering, Vol. 47, No. 11, 2000.
  18. Dynamic-Footprint based Person Identification using Mat-type Pressure Sensor in-Woo Jungl, Zeungnam Bien', Sang-Wan Lee', Tomomasa Sato', IEEE 2003.
Index Terms

Computer Science
Information Sciences

Keywords

footprints Determinant value Euclidean Distance extract features