Synonym
Ear Recognition, 3D
Definition
The human ear is a new class of relatively stable biometrics. After decades of research of anthropometric measurements of ear photographs of thousands of people, it has been found that no two ears are alike, even in the cases of identical and fraternal twins, triplets, and quadruplets [1]. It is also found that the structure of the ear does not change radically over time. Ear biometric has played a significant role in forensic science and its use by law enforcement agencies for many years [1] but most of this work has been on analyzing the earprints manually. Recent work on ear biometrics focuses on developing automated techniques for ear recognition [2]. Ear biometrics can be based on a 2D gray scale or color image, 3D range image, or a combination of 2D and 3D images. Typically, an ear biometric system consists of ear detection and ear recognition modules.
Introduction
Rich in features, the human ear is a stable structure that does not change...
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References
Iannarelli, A.: Ear Identification. Forensic Identification Series. Paramont Publishing Company, (1989)
Bhanu, B., Chen, H.: Human Ear Recognition by Computer. Springer (2008)
Burge, M., Burger, W.: Ear biometrics. in A. Jain, R. Bolle, S. Pankanti, Biometrics - Personal Identification in Networked Society, Kluwer Academic Publishers (1999)
Burge, M., Burger, W.: Ear biometrics in computer vision. Proc. Int. Conf. on Pattern Recognition 2, 822–826 (2000)
Hurley, D.J., Nixon, M., Carter, J.N.: Force field energy functionals for image feature extraction. Image and Vision Computing 20(5–6), 311–317 (2002)
Hurley, D., Nixon, M., Carter, J.: Force field feature extraction for ear biometrics. Computer Vision and Image Understanding 98(3), 491–512 (2005)
Hurley, D., Arbab-Zavar, B., Nixon, M.: The ear as a biometric. in A. Jain, P. Flynn, A. Ross, Handbook of Biometrics, Springer (2007)
Chang, K., Bowyer, K.W., Sarkar, S., Victor, B.: Comparison and combination of ear and face images in appearance-based biometrics. IEEE Trans. Pattern Analysis and Machine Intelligence 25(9), 1160–1165 (2003)
Bhanu, B., Chen, H.: Human ear recognition in 3D. Proc. Workshop on Multimodal User Authentication pp. 91–98 (2003)
Chen, H., Bhanu, B.: Human ear recognition in 3D. IEEE Trans. Pattern Analysis and Machine Intelligence 29(4), 718–737 (2007)
Chen, H., Bhanu, B.: 3D free-form object recognition in range images using local surface patches. Pattern Recognition Letters 28(10), 1252–1262 (2007)
Yan, P., Bowyer, K.W.: Multi-biometrics 2D and 3D ear recognition. Proc. Audio and Video Based Biometric Person Authentication pp. 503–512 (2005)
Yan, P., Bowyer, K.W.: Biometric recognition using 3D ear shape. IEEE Trans. Pattern Analysis and Machine Intelligence 29(8), 1297–1308 (2007)
Akkermans, A., Kevenaar, T., Schobben, D.: Automatic ear recognition for person identification. Proc. IEEE Workshop on Automatic Identiifcation Advanced Technologies pp. 219–223 (2005)
Swabey, M., Beeby, S.P., Brown, A.: Using otoacoustic emissions as a biometric. Proc. First International Conference on Biometric Authentication pp. 600–606 (2004)
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Bhanu, B., Chen, H. (2009). Ear Biometrics, 3D. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_171
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DOI: https://doi.org/10.1007/978-0-387-73003-5_171
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