Author(s): Jaspreet Kaur, Rajdeep Singh Sohal

Email(s): Jaspreet.ecespl@gndu.ac.in

DOI: 10.5958/2321-581X.2017.00009.5   

Address: Jaspreet Kaur*, Rajdeep Singh Sohal
Department of ECE, GNDU RC Fattu Dhinga (Sultanpur Lodhi), Kapurthala (Punjab) India.
*Corresponding Author

Published In:   Volume - 8,      Issue - 1,     Year - 2017


ABSTRACT:
The ?eld of Biometrics has received much attention in the last years as being an appealing alternative to conventional substantiation systems like passwords etc. Authentication is required when it is obligatory to know if a person is the same, who they assert to be. Every so often the traits are augmented due to enhancement in number of users which impinge on the database and substantiation system’s performance. Single biometric based systems are excelling as it is very easy and swift system to access the biometric description of a person. Nevertheless with the prologue of safety measures, more threats are being embryonic too in a analogous manner to the security systems. In due course it has turn out to be a key point to work on a multimodal biometric system which can, not only provide superior degree of security but may also endow with the same with greater precision and competence. In this paper a archetype for the same has been anticipated. The focus is set aside on design of a multimodal Biometric system based on teeth, speech and signature recognition.


Cite this article:
Jaspreet Kaur, Rajdeep Singh Sohal. Multi Sensor based Biometric System using Image Processing. Research J. Engineering and Tech. 2017; 8(1): 53-62. doi: 10.5958/2321-581X.2017.00009.5

Cite(Electronic):
Jaspreet Kaur, Rajdeep Singh Sohal. Multi Sensor based Biometric System using Image Processing. Research J. Engineering and Tech. 2017; 8(1): 53-62. doi: 10.5958/2321-581X.2017.00009.5   Available on: https://ijersonline.org/AbstractView.aspx?PID=2017-8-1-9


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DOI: 10.5958/2321-581X 


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