Abstract
The ear localization is an essential step in the ear biometric system. The localization of ear from the images with different tilt and pose variations is a challenging one. In this paper, the performance of ear localization using optimization techniques such as entropy-based particle swarm optimization (PSO) and sequential search algorithms such as sequential forward selection (SFS) and sequential backward selection (SBS) are evaluated on roughly localized ear images. The experimental results show a promising performance of PSO attaining \(82\%\) efficiency for ear localization on pointing head pose database images.
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References
M. Burge, W. Burger, Ear biometrics, in Biometrics (Springer, Boston, MA, 1996), pp. 273–285
A. Pflug, C. Busch, Ear biometrics: a survey of detection, feature extraction and recognition methods. IET Biom. 1(2), 114–129 (2012)
K Delac, M. Grgic, A survey of biometric recognition methods, in 46th International Symposium Electronics in Marine, vol. 46 (2004)
S.M.S. Islam, M. Bennamoun, R. Davies, Fast and fully automatic ear detection using cascaded adaboost, in IEEE Workshop on Applications of Computer Vision, 2008. WACV 2008 (IEEE, 2008)
L. Yuan, Z. Mu, Ear recognition based on local information fusion. Pattern Recogn. Lett. 33(2), 182–190 (2012)
S. Prakash, U. Jayaraman, P. Gupta, A skin-color and template based technique for automatic ear detection, in Seventh International Conference on Advances in Pattern Recognition, 2009. ICAPR’09 (IEEE, 2009)
S. Prakash, P. Gupta, An efficient ear localization technique. Image Vis. Comput. 30(1), 38–50 (2012)
M.R. Ganesh et al., Entropy based binary particle swarm optimization and classification for ear detection. Eng. Appl. Artif. Intell. 27, 115–128 (2014)
L. Nanni, A. Lumini, A multi-matcher for ear authentication. Pattern Recogn. Lett. 28(16), 2219–2226 (2007)
R. Chandrasekaran, D. Abraham Chandy, Automatic ear localization based on modified skin segmentation technique, in 3rd International Conference on Electronics and Communication Systems, vol. 6, Feb 2016
K.H. Ghazali, J.M. Bin, R. Xiao, An innovative face detection based on skin color segmentation. Int. J. Comput. Appl. 34(2), 6–10 (2011)
C.G. Baby, D. Abraham Chandy, Content-based retinal image retrieval using dual-tree complex wavelet transform, in 2013 International Conference on Signal Processing Image Processing and Pattern Recognition (ICSIPR) (IEEE, 2013)
J. Canny, A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 6, 679–698 (1986)
N. Cohen, A color balancing algorithm for cameras. EE368 Digit. Image Process. 1–11 (2011)
D.S. Reddy, S. Varadarajan, M.N. Giriprasad, 2D dual-tree complex wavelet transform based image analysis. Contemp. Eng. Sci. 5(3), 127–136 (2012)
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Chandy, D.A., Christinal, H.A., Chandrasekaran, R., Alex, D.M. (2020). Comparison of PSO and Sequential Search Algorithms for Improvisation of Entropy-Based Ear Localization. In: Nagar, A., Deep, K., Bansal, J., Das, K. (eds) Soft Computing for Problem Solving 2019 . Advances in Intelligent Systems and Computing, vol 1138. Springer, Singapore. https://doi.org/10.1007/978-981-15-3290-0_4
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DOI: https://doi.org/10.1007/978-981-15-3290-0_4
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