Abstract
One of the most recent trends in biometrics is recognition by ear appearance in head profile images. Determining the region of interest which contains the ear is an important step in an ear biometric system. To this end, we propose a robust, simple and effective method for ear detection from profile images by employing a bank of curved and stretched Gabor wavelets, known as banana wavelets. A 100% detection rate is achieved here on a group of 252 profile images from XM2VTS database. The banana wavelets technique demonstrates better performances than Gabor wavelets technique. This indicates that the curved wavelets are advantageous here. Also the banana wavelet technique is applied to a new and more challenging database which highlights practical considerations of a more realistic deployment. This ear detection technique is fully automated, has encouraging performance and appears to be robust to degradation by noise.
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References
Hurley, D.J., Arbab-Zavar, B., Nixon, M.S.: The ear as a biometric. In: Jain, A., Flynn, P., Ross, A. (eds.) Handbook of Biometrics (2008)
Iannarelli, A.: Ear Identification. Paramount Publishing Company, Freemont (1989)
Bhanu, B., Chen, H.: Human Ear Recognition by Computer. Springer, Heidelberg (2008)
Islam, S.M.S., Bennamoun, M., Davies, R.: Fast and Fully Automatic Ear Detection Using Cascaded AdaBoost. In: Proc. of IEEE Workshop on Application of Computer Vision (WACV 2008), USA, pp. 1–6 (January 2008)
Arbab-Zavar, B., Nixon, M.S.: On shape mediated enrolment in ear biometrics. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Paragios, N., Tanveer, S.-M., Ju, T., Liu, Z., Coquillart, S., Cruz-Neira, C., Müller, T., Malzbender, T. (eds.) ISVC 2007, Part II. LNCS, vol. 4842, pp. 549–558. Springer, Heidelberg (2007)
Bustard, J.D., Nixon, M.S.: Robust 2D Ear Registration and Recognition Based on SIFT Point Matching. In: BTAS (2008)
Yan, P., Bowyer, K.W.: Biometric recognition using 3d ear shape. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(8), 1297–1308 (2007)
Chen, H., Bhanu, B.: Human ear recognition in 3d. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(4), 718–737 (2007)
Krüger, N., Pötzsch, M., Peters, G.: Principles of Cortical Processing Applied to and Motivated by Artificial Object Recognition. In: Information Theory and the Brain. Cambridge University Press, Cambridge (2000)
Messer, K., Matas, J., Kittler, J., Luettin, J., Maitre, G.: XM2VTSDB: The Extended M2VTS Database. In: Proc. AVBPA 1999, Washington D.C. (1999)
Hurley, D.J., Nixon, M.S., Carter, J.N.: Force field feature extraction for ear biometrics. Computer Vision and Image Understanding 98, 491–512 (2005)
Samangooei, S., Bustard, J., Nixon, M.S., Carter, J.N.N.: On Acquisition and Analysis of a Dataset Comprising of Gait, Ear and Semantic Data. In: Bhanu, B., Govindaraju, V. (eds.) Multibiometrics for Human Identification, CUP (2010) (in press)
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Ibrahim, M.I.S., Nixon, M.S., Mahmoodi, S. (2010). Shaped Wavelets for Curvilinear Structures for Ear Biometrics. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17289-2_48
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DOI: https://doi.org/10.1007/978-3-642-17289-2_48
Publisher Name: Springer, Berlin, Heidelberg
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