An ICA Based Feature Level Fusion of Iris and Ear Biometrics

Volume: 2    Issue: 1

Year of Publication: 2015

Pages: (72-76)

Authors: Chandini Sharma, Navdeep Singh Sethi

Download Full Text (PDF)

Abstract

In this paper, a new multimodal biometric system is introduced; this system aim to fuse iris and ear features. A new technique i.e. Independent Component Analysis (ICA) is implemented at feature level for feature extraction and fusion of iris and ear increase the accuracy of the authentication system. Additionally the feature reduction of iris and ear has been done by Genetic Algorithm (GA) and training of the system is done by Neural Network (NN). The performance evaluation of proposed method is done by using metrics like False Acceptance Rate (FAR), False Rejection Rate (FRR) and Accuracy in MATLAB environment.

References

1. Ashish Mishra, “Multimodal Biometrics it is: Need for Future Systems,” International Journal of Computer Applications, vol. 3, pp. 28-33, June 2010.

2. Mingxing He , Shi-JinnHorng , Pingzhi Fan , Ray-Shine Run , Rong-Jian Chen , Jui-Lin Lai , Muhammad Khurram Khan, Kevin Octavius Sentosa , “Performance evaluation of score level fusion in multimodal biometric systems,” Pattern Recognition, vol. 43, pp. 1789-1800, May 2010.

3. Shi-Jinn Horng, “An Improved Score Level Fusion in Multimodal Biometric Systems,” International Conference on Parallel and Distributed Computing, Applications and Technologies, pp. 239 - 246, Dec 8-11, 2009.

4. Li Yuan, Zhichun Mu, “Ear recognition based on local information fusion,” Pattern Recognition Letters 33(2), pp. 182-190, 2012.

5. Naveen Singh, Dilip Gandhi, Krishna Pal Singh, “Iris recognition system using a canny edge detection and a circular Hough transform,” International Journal of Advances in Engineering & Technology, May 2011.

6. M.C. Shin, D. Goldgof, and K.W. Bowyer. “Comparison of Edge Detector Performance through Use in an Object Recognition Task”. Computer Vision and Image Understanding, vol. 84, no. 1, pp. 160-178, Oct. 2001.

7. ] Christel-loicTisse, Lionel Martin, Lionel Torres, Michel Robert, \"Person Identification Technique Using Human Iris Recognition\", Proc. of Vision Interface, pp. 294-299, 2002.

8. A. Basit, M. Y. Javed, M. A. Anjum, \"Efficient Iris Recognition Method for Human Identification,\" proceedings of world academy of science, engineering and technology, vol. 4 feb.2005.

9. D. R. Shashi Kumar, K. B. Raja, R. K Chhootaray and SabyasachiPattnaik, \"PCA based Iris Recognition using DWT,\" International Journal of computer Technology and Applications, vol. 2, pp. 884-893, July-August 2011.

Keywords

Independent Component Analysis (ICA), neural network (NN), Biometric Fusion, Iris, Ear.