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Design and Implementation of Multi-model Biometric Identification System

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 99 - Number 15
Year of Publication: 2014
Safaa S. Omran
Maryam Abdulmunem Salih

Safaa S Omran and Maryam Abdulmunem Salih. Article: Design and Implementation of Multi-model Biometric Identification System. International Journal of Computer Applications 99(15):14-21, August 2014. Full text available. BibTeX

	author = {Safaa S. Omran and Maryam Abdulmunem Salih},
	title = {Article: Design and Implementation of Multi-model Biometric Identification System},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {99},
	number = {15},
	pages = {14-21},
	month = {August},
	note = {Full text available}


Biometric recognition used to make personal identification based on pattern recognition methods. This research use fingerprint and iris recognition systems to build an active serial multimodal biometric identification system. Fingerprint identification algorithm is modified to be modified Delaney triangulation system. In the modified system only the surrounded triangles around each minutia were compared between the input and the stored template. While in the iris recognition system the segmentation method is modified and the recognition is based on the correlation filter. The recognition method is applied only on the lower part of the iris region that is less effected with noise. The proposed multimodal system gave a high accuracy with error rate equals (0. 9%).


  • T. Dunstone, and N. Yager, "Biometric System and Data Analysis Design, Evaluation, and Data Mining", Springer, 2009.
  • K. Nandakumar," Multibiometric Systems: Fusion Strategies And Template Security", Department Of Computer Science And Engineering, Ph. D. Thesis, 2008.
  • W. Almayyan, "Performance Analysis of Multimodal Biometric Fusion", De Montfort University, M. Sc. Thesis, 2012.
  • F. Alsaade, "Score-Level Fusion for Multimodal Biometrics", University Of Hertfordshire, M. Sc. Thesis, 2008.
  • K. Sentosa, " Performance Evaluation of Score Level Fusion in Multimodal Biometric Systems", Department Of Computer Science And Information Engineering National Taiwan University Of Science And Technology, M. Sc. Thesis, 2007.
  • J. Aguilar, "adoptive Fusion Scheme for multimodal biometric Authentication ", Univirsity Of Politecnica De Madrid, Ph. D. Thesis, 2006.
  • D. Maltoni, D. Maio, A. Jain, and S. Prabhakar, "Handbook of Fingerprint Recognition" , Springer-Verlag New York, Inc. , 2003.
  • N. Ratha and R. Bolle," Automatic Fingerprint Recognition Systems", Springer,2004.
  • V. Areekul, U. Watchareeruetai, K. Suppasriwasuseth, and S. Tantaratana," Separable Gabor Filter Realization for Fast Fingerprint Enhancement", IEEE Image Processing, ICIP2005 International Conference, Genoa, Italy, 2005.
  • K. Arora, and P. Garg, "A Quantitative Survey Of Various Fingerprint Enhancement Techniques", International Journal Of Computer Applications Vol. 28 No. 5, 2011.
  • K. Arora, and P. Garg," A Quantitative Survey Of Various Fingerprint Enhancement Techniques", International Journal Of Computer Applications, Vol. 28, No. 5, 2011.
  • N. Liu, Y. Yin, H. Zhang," A Fingerprint Matching Algorithm Based On Delaunay Triangulation Net", IEEE Computer and Information Technology, 2005. CIT2005. The Fifth International Conference, Shanghai, 2005.
  • H. Gite, C. Mahender," Iris Code Generation And Recognition", International Journal Of Machine Intelligence (IJMI),Vol. 26, No. 11, 2011.
  • Q. Wang, X. Zhang, M. Li, X. Dong, Q. Zhou, and Y. Yin," Adaboost And Multi-Orientation 2d Gabor-Based Noisy Iris Recognition", Pattern Recognition Letters Vol. 33, No. 8, 2012.
  • S. Nithyanandam, K. Gayathri , and P. Priyadarshini," A New IRIS Normalization Process For Recognition System With Cryptographic Techniques", IJCSI International Journal Of Computer Science, Vol. 8, Issue 4, No 1, 2011.
  • R. Farouk," Iris Recognition Based On Elastic Graph Matching And Gabor Wavelets", Computer Vision And Image Understanding, Vol. 115, No. 12, 2011.
  • J. Thornton, and M. Savvides, B. Kumar, "A Bayesian Approach to deformed Pattern Matching of Iris Image", IEEE Pattern Analysis And Machine Intelligence, Vol. 29, No. 4, 2007
  • K. Miyazawa, K. Ito, T. Aoki, K. Kobayashi, and H. Nakaima, "A Phase-Based Iris Recognition Algorithm", Springer-Verlag Berlin Heidelberg, 2005
  • V. Boddeti, and V. Kumar, "Extended Depth of Field Iris Recognition Using Unrestored Wavefront Coded Imagery", IEEE transactions on systems, man, and cybernetics part A: systems and humans, Vol. 40, No. 3, 2010.