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Ear shape has played a significant role in forensic science and its use by law enforcement agencies for many years. 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. It is also found that the structure of the ear does not change radically over time. However, until recently most of this work has been on analyzing the ear photographs manually. Recent work on ear biometrics focuses on developing automated techniques for ear recognition. Typically, an ear biometrics system consists of ear detection and ear recognition (authentication and identification) modules. Ear recognition can be based on a 2D gray scale or color image, 3D range image or a...
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Iannarelli A (1989) Ear identification. Forensic identification series. Paramont, Fremont
Bhanu B, Chen H (2008) Human ear recognition by computer. Springer, London
Chang K, Bowyer KW, Sarkar S, Victor B (2003) Comparison and combination of ear and face images in appearance-based biometrics. IEEE Trans Pattern Anal Mach Intell 25:1160–1165
Yan P, Bowyer KW (2007) Biometric recognition using 3D ear shape. IEEE Trans Pattern Anal Mach Intell 29:1297–1308
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Bhanu, B. (2011). Ear Shape for Biometric Identification. In: van Tilborg, H.C.A., Jajodia, S. (eds) Encyclopedia of Cryptography and Security. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5906-5_738
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DOI: https://doi.org/10.1007/978-1-4419-5906-5_738
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