A New Multibiometric Identification Method Based on a Decision Tree and a Parallel Processing Strategy


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Abstract


The unimodal biometric systems cannot be always used reliably to perform the recognition of persons. Using several modalities, we can enhance the recognition rate at the cost of more processing time. In this paper, we propose a new alternative based on a multibiometric fusion approach for the identification of persons using two modalities the iris and the fingerprint. The fusion approach is performed at scores level based on a classification method by a decision tree and a combination method by the sum. In order to overcome the processing time problem, we propose a parallel processing strategy for both unimodal systems in a computer that has a multicore processor. The results obtained, after conducting several tests, confirm that the proposed methods helped significantly to optimize the performance of the whole multimodal system by offering a good compromise between the identification recognition rate and the identification response time.
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Keywords


Multibiometric Fusion; Fingerprint; Iris; Multi-Core Processor; Parallel Processing

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References


A. K. Jain, A. Ross, S. Prabhakar, An introduction to biometric recognition, IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, n. 1, pp. 4-20, 2004.

A. K. Jain, A. Ross, Multibiometric systems, Communications of the ACM, special issue on multimodal interfaces, Vol. 47, n. 1, pp. 34-40, 2004.

L. I. Kuncheva, C. J. Whitaker, C. A. Shipp, R. P. W. Duin, Is independence good for combining classifiers?, Proceedings of International Conference on Pattern Recognition (ICPR), vol. 2, pp. 168-171, Barcelona, Spain, 2000.

A. Ross, A. Jain, Information fusion in biometrics, Pattern Recognition Letters, Vol. 24, n. 13, pp. 2115-2125, 2003.

A. Ross, A. K. Jain, Multimodal biometrics : An overview, Proceedings of 12th European Signal Processing Conference (EUSIPCO), pp. 1221-1224, Vienna, Austria, 2004.

M.J. Sudhamani, M.K. Venkatesha, K.R. Radhika, Revisiting Feature level and Score level Fusion Techniques in Multimodal Biometrics System, Proceedings of International Conference on Multimedia Computing and Systems (ICMCS), pp. 881-885, 2012.

A. Jain, K. Nandakumar, A. Ross, Score normalization in multimodal biometric systems, Pattern Recognition, Vol. 38, n. 12, pp. 2270-2285, 2005.

J. Kittler, M. Hatef, R. Duin, J. Matas, On Combining Classifiers, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, n. 3, pp. 226-239, 1998.

Y. Wang, T. Tan, A. Jain, Combining face and iris biometrics for identity verification, Proceedings of Fourth International Conference on Audio- and Video-Based Authentication (AVBPA), pp. 805-813, Guildford, U.K., 2003.

A. Jain, A. Ross, Learning User-specific Parameters in a Multibiometric System, Proceedings of International Conference on Image Processing (ICIP), pp. 57-60, New York, USA, 2002.

C. Sanderson, K. Paliwal, Information fusion and person verification using speech and face information, Tech. Rep. IDIAP-RR 02-33, IDAIP, 2002.

Y. Tong, F.W. Wheeler, X. Liu, Improving Biometric Identification Through Quality based Face and Fingerprint Biometric Fusion, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 53-60, 2010.

M. Vatsa, R. Singh, A. Noore, Integrating image quality in 2v-SVM biometric match score fusion, International Journal of Neural Systems, Vol. 17, n. 5, pp. 343-351, 2007.

Z. Yaghoubi, K. Faez, M. Eliasi, A. Eliasi, Multimodal Biometric Recognition Inspired by Visual Cortex and Support Vector Machine Classifier, Proceedings of International Conference on Multimedia Computing and Information Technology, pp. 93-96, 2010.

M. Vatsa, R. Singh, A. Noore, A. Ross, On the Dynamic Selection of Biometric Fusion Algorithms, IEEE Transactions on Information Forensics and Security, vol. 5, n. 3, pp. 470-479, 2010.

A. Kumar, Y. Zhou, Human Identification Using Finger Images, IEEE Transactions on Image Processing, vol. 21, n. 4, pp. 2228-2244. 2012.

K. Nandakumar, A. Ross, A. K. Jain, Incorporating ancillary information in multi biometric systems, Handbook of Biometrics, (New York: Springer- Verlag, 2007, 335-355)

S. JadAllah, Al-Hijaili, M. AbdulAziz, Biometric in health care security system, Iris-Face fusion system, international journal of academic research, vo1. 3, n. 1, pp. 1-11, 2011.

Y. Zang, X. Yang, K. Cao, X. Jia, N. Zhang, J. Tian, A Score-Level Fusion Method with Prior Knowledge for Fingerprint Matching, Proceedings of International Conference on Pattern Recognition (ICPR), pp. 2379 – 2382, Tsukuba, Japan, 2012.

H.B. Prajapati, S.K. Vij, Analytical Study of Parallel and Distributed Image Processing, Proceedings of International Conference on Image Information Processing (ICIIP), pp. 1-6, 2011.

T. Kruger, J. Wickel, K. Kraiss, Parallel and Distributed Computing for an Adaptive Visual Object Retrieval System, Proceedings of the 17th International Parallel and Distributed Processing Symposium, (IPDPS), France, 2003.

U. Ali, J.A. Taj, T. Hussain, M. Hussain, Real-Time Efficient Parallel Thermal and Visual Face Recognition Fusion, Proceedings of International Conference on Electro/information Technology, pp. 569-574, 2006.

T. Keatkaew, T. Achalakul, Real-time Parallel Face Recognition Using Eigenfaces, Proceedings of International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC), Vol. 2, pp. 149-1150, jeju, Korea, 2005.

G.G. Slabaugh, R. Boyes, X. Yang, Multicore Image Processing with OpenMP, IEEE Signal Processing Magazine, vol. 27, n. 2, pp. 134-138, 2010.

J. Daugman, High confidence recognition of persons by rapid video analysis of iris texture, European Convention on Security and Detection, pp. 244-251, 1995.

J. Daugman, How Iris Recognition Works, IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, n. 1, pp. 21-30, 2004.

L. Chaorong, F. Bo, L. Jianping, Y. Xingchun, Texture-Based Fingerprint Recognition Combining Directional Filter Banks And Wavelet, International Journal of Pattern Recognition and Arti¯cial Intelligence, vol. 26, n. 4, pp. 1-20, 2012.

A. K. Jain, S. Prabhakar, L. Hong, S. Pankanti, Filterbank-based fingerprint matching, IEEE Transactions on Image Processing, vol. 9, n. 5, pp. 846-859, 2000.

CASIA-IrisV4. http://biometrics.idealtest.org/.

CASIA-FingerprintV5. http://biometrics.idealtest.org/.

T. Murakami, K. Takahashi, Accuracy Improvement with High Convenience in Biometric Identification Using Multihypothesis Sequential Probability Ratio Test, Proceedings of the First IEEE International Workshop on Information Forensics and Security, pp. 66-70, 2009.

T. Murakami, K. Takahashi, Fast and Accurate Biometric Identification Using Score Level Indexing and Fusion, International Joint Conference on Digital Object Identifier, pp. 1-8, 2011.

M. Ouslim, Iris identification using the pRAM neural network, Revue Courrier du Savoir scientifique et technique, Université Mohamed khider Biskra,n°12, pp75-78,Octobre 2011,ISSN1 112-3338.

Aravinth, J., Valarmathy, S., Score-level fusion technique for multi-modal biometric recognition using ABC-based neural network, (2013) International Review on Computers and Software (IRECOS), 8 (8), pp. 1889-1900.

Ahmadi, A., Mashoufi, B., A new optimized approach for artificial neural networks training using genetic algorithms and parallel processing, (2012) International Review on Computers and Software (IRECOS), 7 (5), pp. 2195-2199.

Gu, Y., Shi, G., Zhao, D., Sun, Y., The study of CUDA-based ELA algorithm for de-interlacing, (2012) International Review on Computers and Software (IRECOS), 7 (6), pp. 3042-3046.

Thiyaneswaran, B., Padma, S., Human authorization using wavelet and tensor object analysis of the iris biometrics, (2012) International Review on Computers and Software (IRECOS), 7 (6), pp. 3047-3055.


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