Human Identification Using Foot Features

Full Text (PDF, 393KB), PP.22-31

Views: 0 Downloads: 0


Kadhim M.Hashem 1,* Fatima Ghali 1

1. Department of computer science University of Thi-Qar, Thi-Qar, Iraq

* Corresponding author.


Received: 24 Mar. 2016 / Revised: 22 Apr. 2016 / Accepted: 25 May 2016 / Published: 8 Jul. 2016

Index Terms

Pattern Recognition, Foot Geometry, Euclidean Distance, image processing


The goal of this paper is to investigate a new technique for human identification using foot features. This work can be mainly decomposed into image preprocessing, feature extraction and pattern recognition by Artificial Neural Network (ANN).
Foot images are rarely of perfect quality. To obtain good minutiae extraction in foot with varying quality, we conducted preprocessing in form of image enhancement and binarization .To extract features from human foot based on shape geometry of foot boundaries by extracting 16 geometric features from a human foot image. The foot center has been determined, and then the distances between the center point and outer points are measured with different angles .The angles are from 30˚ to 360˚ by increment with 30˚ gradual. The 13th feature that can be extracted is the length of a foot which is defined as the distance between the top point of the foot and the bottom point. The 14th, 15th and 16th are three major features the width of the foot. The first width is passing through center point, therefore, the second widths of foot is measured from the upper part above the center point and third width from the region the center point under the center point at the bottom of the foot. Euclidean distance is used in the proposed system. Artificial Neural network used for recognition.
MATLAB version 8.1(R2013a) and windows 7 with 32 bit is used to build the application and performed on pc of core i3 processor, and our test system on 40 persons, results were satisfactory up to more 92.5%.

Cite This Paper

Kadhim M.Hashem, Fatima Ghali,"Human Identification Using Foot Features", International Journal of Engineering and Manufacturing(IJEM), Vol.6, No.4, pp.22-31, 2016. DOI: 10.5815/ijem.2016.04.03


[1]K.K.Nagwanshi and S. Dubey," Biometric Authentication using Human Footprint", International Journal of Applied Information Systems, Foundation of Computer Science, New York, USA,vol.3, No.7, August ,2012.

[2]K. V. Singh," Application of Neural Network in Fingerprint Identification", Thapar University, Computer science and engineering department, M.ScThesis, July, 2010.

[3]S. Ashish," Design of a Hand Geometry Based Recognition System", Indian Institute of Technology Kanpur, Department of Computer Science & Engineering,M.Sc.Thesis, Jan, 2007.

[4]S.A. Sahmoud," Enhancing Iris Recognition", Islamic University, Computer Engineering Department, M. Sc.Thesis, 2011.

[5]T. Kuragano, A. Yamaguchi and S. Furukawa, "A Method to Measure Foot Print Similarity for Gait Analysis," in IEEE-Computer Society- 2005 International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWIC'05), 2005.

[6]D.Naga Shailaja," A simple Geometric Approach for Aar Recognition", Engineering Indian institute of Technology, Kanpur, Department of computer science, M.Sc. Thesis June,2006.

[7]A. Uhl and P. Wild, "Footprint-based biometric verification," Journal of Electronic Imaging-Society of Photo-Optical Instrumentation Engineers, vol. 17, no. 1, p. 011016, Mar, 2008.

[8]V. Kumar and M.Ramakrishnan, "Footprint Recognition with COP Using Principle Component Analysis (PCA)," Journal of Computational Information Systems, vol. 8, no. 12, pp. 4939-4950, 2012.

[9]Ö .H. ÖZKAN," A research on Foot Twear and Foot Interaction ON Through Anatomy and Human Engineering", The Graduate School of Engineering and Sciences, Izmir Institute of Technology, M.Sc. Thesis, January, 2005.

[10]W. Wang, X. Ping and Y. Ding, "Footprint Heavy Pressure Surface Pick-up and Description," in IEEE Computer Society-Third International Conference on Image and Graphics (ICIG'04), Hong Kong, China, 18-20 December 2004 .

[11]T.A.Hussein,"Arabic-text extraction from video images", University of Basrah, college of science, Department of computer science, MS. Thesis, 2013.

[12]D. Kumar, S. P. Tripathi and D. Misra," A Review report on fingerprint image enhancement filter", International Journal of Computer Science Engineering and Information Technology Research, ISSN 2249-6831, Vol. 3, Issue 2, pp. 403-416, Jun 2013.

[13]K .Geetha and S. Santhosh Baboo," Systematic Study of Fuzzy, Neural Network and Neurofuzzy Systems", Journal of Engineering Research and Application Vol. 3, No. 5, pp.884-889, Oct, 2013.

[14]V. Sharma, S. Rai and A. Dev," A Comprehensive Study of Artificial Neural Networks", International Journal of Advanced Research in Computer Science and Software Engineering Vol., Issue 10, October, 2012. 

[15]P.Sibi, S.A.JONES and P.Siddarth," Analysis of Different Activation Functions Using Back Propagation Neural Networks", Journal of Theoretical and Applied Information Technology Vol. 47 No.3, January 2013.