A Hand-Based Biometric Verification System Using Ant Colony Optimization

  • Nirmal Pandey Department of Computer Science & Engineering Delhi Technological University New Delhi –110042, India
  • O.P. Verma Principal G B Pant Engineering College,Govt. Of NCT of Delhi, Okhla New Delhi –110020, India
  • Amioy Kumar Formerly Guest Faculty (Department of Computer Science & Engineering)Delhi Technological University New Delhi –110042, India
Keywords: Biometric Authentication, Infrared thermal vein patterns, hand-shapes, Score-level fusion, ACO


This paper presents a novel personal authentication system using hand-based biometrics, which utilizes internal (beneath the skin) structure of veins on the dorsal part of the hand and the outer shape of the hand. The hand-vein and the hand-shape images can be simultaneously acquired by using infrared thermal and digital camera respectively. A claimed identity is authenticated by integrating these two traits based on the score-level fusion in which four fusion rules are used for the integration. Before their fusion, each modality is evaluated individually in terms of error rates and weights are assigned according to their performance. In order to achieve an adaptive security in the proposed bimodal system, an optimal selection of fusion parameters is required. Hence, Ant Colony Optimization (ACO) is employed in the bimodal system to select the weights and also one out of the four fusion rules optimally for the adaptive fusion of the two modalities to meet the user defined security levels. The databases of hand-veins and the hand-shapes consisting of 150 users are acquired using the peg-free imaging setup. The experimental results show genuine acceptance rate (GAR) of 98% at false acceptance rate (FAR) of 0.001% and the system has the potential for any online personal authentication based application. 


K. Jain, A. Ross, and S. Prabhakar, “An introduction to biometric recognition,” IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 1, pp. 4–20, Jan. 2004.

A.K. Jain, L. Hong and R. Bolle, "On-line Fingerprint Verification'', IEEE Transactions on PAMI, Vol. 19, No. 4, pp. 302-314, 1997.

L. Hong, Y. Wan and A.K. Jain, "Fingerprint Image Enhancement: Algorithms and Performance Evaluation", IEEE Transactions on PAMI , Vol. 20, No. 8, pp.777-789, August 1998.

S. Pankanti, S. Prabhakar, and A. K. Jain, "On the Individuality of Fingerprints", IEEE Transactions on PAMI, Vol. 24, No. 8, pp. 1010-1025, 2002.

D. Zhang, W. K. Kong, J. You, and M. Wong, “Online palmprint identification,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 9, pp. 1041–1050, Sep. 2003.

J. You, W. Li, and D. Zhang, "Hierarchical palmprint identification via multiple feature extraction," Pattern Recognition, vol. 35, pp. 847-859, 2002.

A. K. Jain and J. Feng, "Latent Palmprint Matching", IEEE Trans. PAMI vol. 31, no. 6, pp. 1032-1047, June, 2009.

A. K. Jain and N. Duta, "Deformable matching of hand shapes for verification", Proc. IEEE International Conference on Image Prcoessing, October 25-28, Kobe, Japan, 1999.

A.K. Jain, A. Ross and S. Pankanti,"A Prototype Hand Geometry-based Verification System", 2nd Int'l Conference on Audio- and Video-based Biometric Person Authentication (AVBPA), Washington D.C., pp. 166-171, March 22-24, 1999.

Chih-Lung Lin, and Kuo-Chin Fan, “Biometric verification using thermal images of palm-dorsa vein patterns”, IEEE transactions on circuits and systems for video technology, Vol. 14, pp. 199-213, 2004.

K. Nandakumar, "Integration of multiple cues in biometric systems", PhD thesis, Department of Computer Science & Engineering, Michigan State University, East Lansing, USA, 2005.

Available at: http://www.dhs.gov/xlibrary/assets/CitizenGuidanceHSAS2.pdf

A. Kumar, “Dynamic security management in multibiometrics,” in Multibiometrics for Human Identification , B. Bhanu and V. Govin-daraju, Eds. Cambridge, U.K.: Cambridge Univ. Press, 2010.

R. Horset and H. Tuy, “Global Optimization – Deterministic Approaches”, Springer, NewYork, 1996.

Noga Alon and Joel Spencer, “The Probabilistic Method”, John Wiley, June 2008 .

T. Bäck, D. Fogel and Z. Michalewicz, “Handbook of Evolutionary Computation”, IOP Publishing and Oxford University Press, New York, 1997.

J. Kennedy and R. C. Eberhart, “PSO optimization,” Proc. IEEE Int. Conf. Neural Networks, pp.1941–1948, 1995.

Kevin M Passino, “ Biomimicry of Bacteria Foraging for Distributed Optimization and control”, IEEE Control Systems Magazine, June 2002.

L. Hong and A. K. Jain, “Integrating faces and fingerprints for personal identification,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 12, pp. 1295–1307, Dec. 1998.

R. Frischholz and U. Dieckmann, “BiolD: A multimodal biometric identification system,” Computer, vol. 33, no. 2, pp. 64–68, Feb. 2000.

J. Fierrez-Aguilar, J. Ortega-Garcia, D. Garcia-Romero, and J. Gonzalez-Rodriguez, “A comparative evaluation of fusion strategies for multimodal biometric verification,” in Proc. 4th Int. Conf. Audio- Video-Based Biometric Person Authentication, J. Kittler and M. Nixon, Eds., 2003, vol. LNCS 2688, pp. 830–837.

A. Kumar, D. C. M. Wong, H. C.Shen1, and A. K. Jain, “Personal verification using palmprint and hand geometry biometric,”in Proc. 4th Int.Conf. Audio- Video-Based Biometric Person Authentication, J. Kittler and M. Nixon, Eds., 2003, vol. LNCS 2668, pp. 668–678.

Arun Ross, Anil Jain, “Information Fusion in Biometrics”, Pattern Recognition Letters, vol. 24 pp. 2115–2125, 2003.

A. K. Jain, K. Nandakumar, and A. Ross, “Score normalization in multimodal biometric systems,” Pattern Recognit., vol. 38, no. 12, pp. 2270–2285, 2005.

Kalyan Veeramachaneni, Lisa Ann Osadciw, and Pramod K. Varshney, “An Adaptive Multimodal Biometric Management Algorithm”, IEEE Trans. On Systems, Man, and Cybernetics—Part C: Applications and Reviews, vol. 35, no. 3, August 2005.

Ajay Kumar, Vivek Kanhangad, and David Zhang, “A New Framework for Adaptive Multimodal Biometrics Management”, IEEE Trans. on Information Forensics and Security, Vol. 5, no. 1, pp. 92-102, March 2010.

E.S. Peer, F. mi de11 Bergll, A.P. Engelbrecht, “Using neighbourhoods with the guaranteed convergence PSO”, IEEE Proceedings of Swarm Intelligence, pp. 235-242, USA, April, 2003.

Genetic Algorithm, Available at: http://en.wikipedia.org/wiki/Genetic_algorithm

Y. Ding, D. Zhuang and K. Wang, “A study of hand vein recognition method,” Proc. IEEE Intl. Conf. Mechatronics & Automation, Niagara Falls, Canada, pp. 2106 – 2110, Jul. 2005.

L. Wang, G. Leedham, and S.-Y. Cho, "Infrared imaging of hand vein patterns for biometric purposes", IET Compt. Vis., Vol.1, pp. 113-122, 2007

Amioy Kumar, M. Hanmandlu and H. M. Gupta, “Online Biometric Authentication Using Hand Vein Patterns”, IEEE Symposium: Computational Intelligence for Security and Defense Applications, Ottawa, Canada, 8-10 July 2009.

Amioy Kumar, Madasu Hanmandlu, Harsh Sanghvi, H. M. Gupta, “Decision level biometric fusion using Ant Colony Optimization”, In Proceedings of ICIP, pp.3105-3108, HongKong, Sept. 2010.

De-Shuang Huang , Wei Jia, David Zhang, " Palmprint verification based on principal lines", Pattern Recognition, Vol. 41, pp. 1316 – 1328, 2008.

Erdem Yoruk, Ender Konukoglu, and Bulent Sankur, “Shape-Based Hand Recognition”, IEEE Transactions On Image Processing, Vol. 15, No. 7, JULY 2006.

D. R. Kisku, P. Gupta, J. K. Sing, and C. J. Hwang, "Multispectral Palm Image Fusion for Biometric Authentication using Ant Colony Optimization", IEEE 1st International Workshop on Emerging Techniques and Challenges for Hand-based Biometrics (ETCHB 2010), pp. 1-7, Istanbul, Turkey, August 2010.

H. R. Kanan, K. Faez, M. Hosseinzadeh, "Face Recognition System Using Ant Colony Optimization-Based Selected Features", IEEE Symposium on CISDA, PP. 57-62, 1-5 April 2007.

F. Matus, J. Flusser, "Image representations via a finite Radon transform", IEEE Trans. Pattern Anal. Mach. Intell. 15 (10) (1993) 996–1006.

Marian Stewart Bartlett, Javier R. Movellan ,and Terrence J. Sejnowski, “Face Recognition by Independent Component Analysis”, IEEE Transactions on Neural Networks, Vol. 13, No. 6, November 2002.

A. Hyvarinen and E. Oja, “Independent component analysis: algorithms and applications,” Neural Netw., vol. 13, no. 4–5, pp. 411–430, 2000.

Dorigo M., G. Di Caro and L. M. Gambardella “Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem” IEEE transactions on evolutionary computation, vol. 1, no. 1, April 1997.

Ajay Kumar, Yingbo Zhou, “Personal Identification using Finger Knuckle Orientation Features”, Electronics Letters, vol. 45, no. 20, September 2009.

A. Kumar, M. Hanmandlu, and H. M. Gupta, “Ant colony optimization based fuzzy binary decision tree for bimodal hand knuckle verification system”, Expert Systems with Applications, 2012, HUhttp://dx.doi.org/10.1016/j.eswa.2012.07.042UH. {In the Press}.

A.C. Copeland, G. Ravichandran, M.M. Trivedi, Localized radon transform-based detection of ship wakes in SAR images, IEEE Trans. Geosci. Remote Sensing 33 (1) (1995) 35–45.

T. Pavlidis, Algorithms for Graphics and Image Processing, Computer Science Press, Rockville, Maryland, 1982.

How to Cite
Pandey, N., Verma, O., & Kumar, A. (2018). A Hand-Based Biometric Verification System Using Ant Colony Optimization. Journal of Information Sciences and Computing Technologies, 7(2), 693-717. Retrieved from http://scitecresearch.com/journals/index.php/jisct/article/view/1504