Ear Biometrics and Morphological Variation in Diverse Population of World
DOI:
https://doi.org/10.48165/jiafm.2023.45.4.29Keywords:
Ear biometry, Personal identification, Ethnic variation, Forensic science, AnthropometryAbstract
Different human ethnic races have different morphological characteristics and measurements of the external ear, which can be used in forensics to identify live or deceased people. Biometrics plays an important part in individualization. The most common types are fingerprints, palm prints, retina, and iris. The face is more easily used in surveillance scenarios where fingerprint and iris capture are not feasible. However, due to variations in emotion, lighting, and make-up, the face is not yet as precise and adaptable as expected. However, ear images can be acquired similarly to facial images and used in biometry. Different human ethnic races have different morphological characteristics and measurements of the external ear, which can be used in forensics to identify live or deceased people. Biometrics plays an important part in individualization. The main contribution of this work lies in the comparative examination of the uniqueness of morphological, ethnical, and biometric variations of both ears for individualization among the different sub-population of India and other ethnic groups of the world. The study shall help anthropological and forensic science agencies with the inclusion and exclusion of persons for identification based on ear variations.
Downloads
References
Alemran A, Rahmatullah BB, Hadi A. Systematic review on ear identification. International journal of engineering &technology. 2018;7(4.31):251-259.
Choraś M. Ear biometrics based on geometrical feature extraction. Electronicletterson computer vision & image analysis. 2005;5(3):84–95.
Abbas A, Rutty GN. Ear piercing affects ear prints: The role of ear piercing in human identification. Journal of forensic science.2005;50(2):386–392.
Snell R. Clinical anatomy, In Snell R., editor, 7thed. Philadelphia: Lippincott Williams and Wilkins. 2004;834-5.
Alva M, Srinivasaraghavan A, Sonawane K. A review on techniques for ear biometrics. IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2019, pp. 1-6, doi: 10.1109/ ICECCT.2019.8869450.
Imhofer R. ’Die Bedeutung der Ohrmuschel für die Feststellung der Identität'. Archiv fur die Kriminologie. 1906;26:150–163.
Iannarelli, Ear Identification, Forensic Identification series, Fremont, Paramont Publishing Company, California, 1989.
Verma K, Joshi B, Kumar V. Morphological variation of ear for individual identification in forensic cases: a study of an Indian population. Research journal of forensic sciences. 2014;2(1):1-8.
Meijerman L, Van der Lugt C, Maat GJ. Cross-sectional anthropometric study of the external ear. Journal of forensic sciences. 2007;52(2):286–293.
Sharkas M. Ear recognition with ensemble classifiers; Adeep learning approach. Multimed Tools Appl (2022). Available from: https://doi.org/10.1007/s11042-022-13252-w
Chang K, Bowyer KW, Sarkar S, Victor B. Comparison and combination of ear and face images in appearance-based biometrics. Pattern analysis and machine intelligence, the institute of electrical and electronics engineers. 2003;25: 1160-1165.
Victor B, Bowyer KW, Sarkar S. An evaluation of face and ear biometrics. International conference on pattern recognition. 2002;1:429-432.
Bigoni L, Velemınska J, Bruzek J. Three-dimensional geometric morphometric analysis of cranio-facial sexual dimorphism in a Central European sample of known sex. HOMO-Journal of comparative human biology. 2010;61 :16–32.
Alexander KS, Stott DJ, Sivakumar B, Kang N. A morphometric study of the human ear. Journal of plastic, reconstructive & aesthetic surgery. 2011;64:41-47.
Purkait R, Singh P. A test of individuality of human external ear pattern: Its application in the field of personal identification. Forensic science international. 2008;178: 112–118, doi:10.1016/j.forsciint.2008.02.009.
Sforza C, Grandi G, Binelli M, Tommasi DJ, Rosati R, Ferrario V.F. Age- and sex-related changes in the normal human ear. Forensic science international. 2009;187: 110.e1–110.e7.
Petrescu L, Gheorghe A, Tirgoviste CI, Petrescu CD. Anthropometric investigation of external ear morphology, as a pattern of uniqueness, useful in identifying the person. The publishing house of the Romanian academy, series B. 2018;20(2):95–104.
Ekanem AU, Garba SH, Musa TS, Dare ND. Anthropometric study of the pinna (auricle) among adult Nigerians resident in Maiduguri metropolis. Journal of medical sciences. 2010;10 (6):176- 180.
Shireen S, Karadkhelkar VP. Anthropometric measurements of human external ear. Journal of evolution of medical and dentalsciences. 2015;4(59):10333-10338.
Edibamode EI, Mordi K, David LK, Eghoi AM. Anthropometry of the external ear among adult Ijaws in Bayelsa state of Nigeria. International journal of medicine and medical research.2019;5(1):75-83.
Meijerman L, Lugt CVD, Maat GJR. Cross-sectional anthropometric study of the external ear. Journal of forensic science.2007;52(2):286-293.
Verma P, Sandhu HK, Verma KG, Goyal S, Sudan M, Ladgotra A. Morphological variations and biometrics of ear: an aid to personal identification. Journal of clinical and diagnostic research. 2016;10(5):ZC138-ZC142.
Kumar BS, Selvi GP. Morphometry of ear pinna in sex
determination. International journal of anatomy and research. 2016;4(2):2480-84.
Bozkır MG, Karakas P, Yavuz M, Dere F. Morphometry of the external ear in our adult population. Aesthetic plastic surgery. 2006;30:81-85.