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Adaptive Cascade Classifier based Multimodal Biometric Recognition and Identification System

Ujwalla Gawande, Kamal Hajari Published in Artificial Intelligence

International Journal of Applied Information Systems
Year of Publication: 2013
© 2012 by IJAIS Journal
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  1. Ujwalla Gawande and Kamal Hajari. Article: Adaptive Cascade Classifier based Multimodal Biometric Recognition and Identification System. International Journal of Applied Information Systems 6(2):42-47, September 2013. BibTeX

    	author = "Ujwalla Gawande and Kamal Hajari",
    	title = "Article: Adaptive Cascade Classifier based Multimodal Biometric Recognition and Identification System",
    	journal = "International Journal of Applied Information Systems",
    	year = 2013,
    	volume = 6,
    	number = 2,
    	pages = "42-47",
    	month = "September",
    	note = "Published by Foundation of Computer Science, New York, USA"


Biometrics consists of techniques for uniquely recognizing humans based upon one or more intrinsic physical or behavioral traits such as Iris, fingerprint, Face and Palm geometry etc. To overcome the limitations of Unimodal biometric system, a multimodal biometric is proposed. Amongst the various fusion levels, feature level fusion is expected to offer better recognition. Feature level fusion fused the extracted feature obtained from biometric traits. The proposed system is based on feature level fusion and adaptive cascade classifier for precise and reliable multimodal recognition and identification. Verification of Genuine and imposter individual classification is done using Backpropagation neural network. The simulation results demonstrated that a multibiometric template provides better recognition performance compared to a unibiometric template and adaptive cascade classification system significantly outperforms single classifier.


  1. A. K. Jain, A. Ross, and S. Prabhakar, "An Introduction to Biometric Recognition", IEEE Transactions on Circuits and Systems for Video Technology, Special Issue on Image and Video Based Biometrics, vol. 14, no. 1, pp. 4–20, January 2004.
  2. Libor Masek, A. Kumar and A. Passi, "Comparison and Combination of Iris Matchers for Reliable Personal Authentication", Journal of Pattern Recognition, ScienceDirect,vol. 43, no. 3, pp. 1016-1026, March 2010.
  3. N. K. Ratha, R. M. Bolle , V. D. Pandit and V. Vaish, "Robust Fingerprint Authentication using Local Structural Similarity", Proceedings of 5th IEEE Workshop on Application of Computer Vision (WACV), Santa Barbara, CA, pp. 29-34, December 2000.
  4. M. Nabti, L. Ghouti and Ahmed Bouridane, "An Efficient and fast Iris Recognition System based on a Combined Multiscale Feature Extraction Technique", Journal of the Pattern Recognition, ScienceDirect, vol. 41, no. 3, pp. 868-879, March 2008.
  5. Y. Gao and M. Leung, "Face recognition using line edge map", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 6, pp. 764–779, Jun 2002.
  6. Xiangqian Wu, Zhang D. and Kuanquan Wang, "Palm Line Extraction and Matching for Personal Authentication",, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 5, pp. 978–987, September 2006.
  7. Teddy Ko, "Multimodal Biometric Identification for Large User Population Using Fingerprint, Face and Iris Recognition", Proceeding of 34th Applied Imagery and Pattern Recognition Workshop (AIPR05), IEEE Computer Society Washington, DC, USA, pp. 218- 223, December 2005.
  8. Asim baig, Ahmed Bouridane, Fatih Kurugollu and Gang Qu, "Iris Fusion based identification system using a single hamming distance matcher", International Journal of Bio-Science and Bio-Technology (IJBSBT), vol. 1, no. 1, pp. 46-58, December 2009.
  9. Besbes, Hanene Trichilli and Basel Solaiman, "Multimodal Biometric System Based on Fingerprint Identification and Iris Recognition", IEEE Transactions on Image Processing, vol. 5, pp 947-952, 2006.
  10. A. jameer Basha, V. Palanisamy, T. Purusotoman, "Fast multimodal biometric approach using dynamic Fingerprint authentication and enhanced iris Features", IEEE International Conference on Computational Intelligence and Computing research(ICCC), Coimbatore, pp. 1-8, 28-29,December 2010.
  11. Arun Ross, Rohin Govindrajan, "Feature level fusion in biometric system", "Feature level fusion in Biometric system", West Virginia University, Morgantown, pp. 1-2, 2009
  12. Donald E. Maurer and John P. Baker," Fusing multimodal biometrics with quality estimates via a Bayesian belief network", Pattern Recognition, vol. 41, no. 3, pp. 821-832, March 2008.
  13. Kulwinder Singh, Kiranbir Kaur, Ashok Sardana, "Fingerprint Feature Extraction", International Journal of Computer Science and Technology (IJCST) , vol. 2, no. 3, September 2011.
  14. M. Khurram Khana and Jiashu Zhanga, "Multimodal face and fingerprint biometrics authentication on space-limited tokens ", Nerocomputing, , vol. 71, no. 13-15, pp. 3026-3031, August 2008.
  15. Yu-Jin Zhange and Y. Yan, "Multimodal biometrics fusion using correlation Filter Bank", Proceeding of the 9th International Conference on Pattern Recognition, pp. 1-4, Tampa, FL, 2008.
  16. Donald F. Specht, "Probabilistic neural network", Proceeding of conference on neural networks, vol. 3, no. 1, pp 109-118, 1990
  17. M. Birgmeier, "A fully Kalman-trained radial basis function network for nonlinear speech 11 modeling", IEEE International Conference on Neural Networks, Perth, Western Australia, pp. 259-264. 1995.
  18. Fahmy, Atiya, Raafat, Elfouly, "Biometric Fusion using Enhanced SVM classification", Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP), IEEE, Harbian, 15-17, August 2008.
  19. J. Ni and L. Shao," The Observational Data Analysis and Processing by Neural Network", Journal of Lianyungang College of Chemical Technology, vol. 13, no. 4, pp. 34-36, December 2000.


Neural network, Multimodal, single algorithmic, Multi algorithmic, Train and Test parameters and Backpropagation neural network.