Design of Multi-Biometrics for Fake Fingerprint Detection through Body Odor
Pratharan Sai Rupak Reddy1, Nimmoju Arun Kumar Chary2, Kiran Jeedi3
1Pratharan Sai Rupak Reddy, Research Scholar, Department of Information Technology, Guru Nanak Institutions Technical Campus, Hyderabad (Telangana) , India.
2Nimmoju Arun Kumar Chary, Research Scholar, Department of Information Technology, Guru Nanak Institutions Technical Campus, Hyderabad (Telangana) , India.
3Kiran Jeedi, Assistant Professor, Department of Information Technology, Guru Nanak Institutions Technical Campus, Hyderabad. (Telangana), India.
Manuscript received on November 19, 2019. | Revised Manuscript received on November 29 2019. | Manuscript published on 30 November, 2019. | PP: 9646-9650 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9998118419/2019©BEIESP | DOI: 10.35940/ijrte.D9998.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This work proposes the modernistic multi-biometric recognition system for detecting artificial fingerprints and new biometric recognition system to use it in some real-time scenarios. In the recent studies of multi-biometrics, the usage of fingerprint and body odor recognition system stays untouched. This proposed design of a multi-biometric system includes a body odor recognition system along with a fingerprint recognition system that will improve the results in terms of accuracy. The reason behind proposing this model is to detect artificial fingerprints by differentiating the odor of human skin from other materials that are employed in the preparation of artificial fingerprints. This multi-biometric system can be used in forensic labs to identify criminals and to improve the standards of security in authentication of an individual. This multi-biometric system will completely eradicate the use of fake fingerprints and this proposed work will make a remarkable place in real-time applications and the history of multi-biometric systems.
Keywords: Fingerprint, Body Odor, Multi-Biometrics, Recognition System, Biometrics, E-Nose, Fingerprint Spoofing.
Scope of the Article: Pattern Recognition and Analysis.