Human Ear Pattern Recognition System

V. Jagan Naveen, K. Krishna Kishore, P. Rajesh Kumar

Abstract


In the modern world, human recognition systems play an important role to   improve security by reducing chances of evasion. Human ear is used for person identification .In the Empirical study on research on human ear, 10000 images are taken to find the uniqueness of the ear. Ear based system is one of the few biometric systems which can provides stable characteristics over the age. In this paper, ear images are taken from mathematical analysis of images (AMI) ear data base and the analysis is done on ear pattern recognition based on the Expectation maximization algorithm and k means algorithm.  Pattern of ears affected with different types of noises are recognized based on Principle component analysis (PCA) algorithm.

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References


Mohamed Ibrahim Saleh, “Using Ears for Human Identification”, M. S. thesis, Virginia Polytechnic Institute and State University, 2007

Bishop, C. M. (2006). Pattern Recognition and Machine Learning.Information Science and Statistics. Springer, New York, USA.

Joginder Singh“Ear Pattern Recognition and Compression”Guru Jambheshwar Univ. of Sc. & Tech., Hisar, Haryana.

T. Yuizono, Y. Wang, K. Satoh, and S. Nakayama. Study on individual recognition for ear images by using genetic local search. In Proceedings of the 2002 Congress on Evolutionary Computation, pages 237–242, 2002.

Mu Z, Yuan L, Xu Z, Xi D, Qi S. Shape and structural feature based ear recognition In: Proceedings of the

CCBR; 2005. p. 663–670.

Anderberg, M.R., Cluster Analysis for Applications, Academic Press, New York, 1973, pp. 162-163. 3

Ear recognition system Using Principal component analysis by AvijitMathur (University of Limerick).

Ajay Kumar, Chenye Wu, “Automated Human Identification Using Ear Imaging”, Department of Computing, The Hong Kong Polytechnic University, June 2011

http://www.ctim.es/research_works/ami_ear_database


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