Ear Based Biometrics Detection and Identication

May 2020
Vol-6, Issue-3
Paper ID: 11936
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Ear Biometrics Segmentation Person Identification
Abstract
The human authentication is that the important aspect for the safety requirements in very we sector. Physical characteristics of humans, like biometrics, are usually don't change over time, unique to each person and straightforward to capture. Present research in biometrics is concentrated on very us biometric iris, fingerprint, gait, signature, face, palm print, or hand-geometry. Ear is most vital part for human identification in various applications. The ear of human sort of efficient biometric candidate because it’s a) Stable and appropriate structure that’s preserved from birth and is exclusive in individuals b) Relatively immune from hygiene issues, privacy and biometric elements. This technique investigates single approach for the automated human identification by 2D ear imaging. Various geometrical feature extraction like identification of shape an individual using ear biometrics.

Author Information

# Name Institute / Affiliation
1 Rushali M. Deshmukh Suryodaya College of Engineering and Technology, Nagpur
2 Asst. Professor Vivekanad P. Thakare Suryodaya College of Engineering and Technology, Nagpur
3 Nikita B. Dayare Suryodaya College of Engineering and Technology, Nagpur
4 Punam A. Ankatwar Suryodaya College of Engineering and Technology, Nagpur
5 Jayendra O. Uprade Suryodaya College of Engineering and Technology, Nagpur

How to Cite

Use the following formats to cite this article in your research.

APA Style
Deshmukh, Rushali M., Thakare, Asst. Professor Vivekanad P., Dayare, Nikita B., Ankatwar, Punam A., & Uprade, Jayendra O. (2020). Ear Based Biometrics Detection and Identication. International Journal of Advance Research and Innovative Ideas In Education, 6(3), 248-255.
MLA Style
Deshmukh, Rushali M., et al. "Ear Based Biometrics Detection and Identication." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 3, 2020, pp. 248-255.
IEEE Style
Rushali M. Deshmukh, Asst. Professor Vivekanad P. Thakare, Nikita B. Dayare, Punam A. Ankatwar, and Jayendra O. Uprade, "Ear Based Biometrics Detection and Identication," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 3, pp. 248-255, 2020.
Vancouver Style
Deshmukh Rushali M., Thakare Asst. Professor Vivekanad P., Dayare Nikita B., Ankatwar Punam A., Uprade Jayendra O.. Ear Based Biometrics Detection and Identication. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(3):248-255.
Harvard Style
Deshmukh, Rushali M., Thakare, Asst. Professor Vivekanad P., Dayare, Nikita B., Ankatwar, Punam A., & Uprade, Jayendra O. (2020) 'Ear Based Biometrics Detection and Identication', International Journal of Advance Research and Innovative Ideas In Education, 6(3), pp. 248-255.
Chicago Style
Deshmukh, Rushali M., et al. "Ear Based Biometrics Detection and Identication." International Journal of Advance Research and Innovative Ideas In Education 6, no. 3 (2020): 248-255.
Turabian Style
Deshmukh, Rushali M., et al. "Ear Based Biometrics Detection and Identication." International Journal of Advance Research and Innovative Ideas In Education 6, no. 3 (2020): 248-255.

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