A Robust Framework for Person Identification using Multimodal Biometrics for Future Technology
R. N. Patil1, Pravin Sahebrao Patil2

1Mr. R. N. Patil*, Department of Electronics & Telecommunication Engineering, MIT(E), Aurangabad (M. S), India.
2Dr. Pravin Sahebrao Patil, Head & Professor, Department of Electronics and Telecommunication Engineering, SSVPS’s B.S. Deore College of Engineering, Dhule, (M.S.), India
Manuscript received on March 15, 2020. | Revised Manuscript received on March 20, 2020. | Manuscript published on April 10, 2020. | PP: 282-287 | Volume-9 Issue-6, April 2020. | Retrieval Number: E2920039520/2020©BEIESP | DOI: 10.35940/ijitee.E2920.049620
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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: Now a day’s security is very major aspect in every industry and personal life too. Various techniques of biometric are available with extraction of different features. Human body consist of many parts but in which few are very unique. The unique features can help in advanced biometric system development, but in future technologies needs robust and reliable techniques based on multimodal biometric. Hence this paper explains about multimodal robust framework personal identification using facial identity. More number of samples needs more accuracy and fast processing therefore deep learning with optical character recognition may use for this. The proposed system includes raspberry pi with python libraries and advanced packages. After execution of this personal identification using advanced tools a unique method with effective and efficient results appears. This paper helps to find the work done in this area and proposed system with hardware configuration setup details. 
Keywords: Personal Identification, Multi Modal biometrics, Face Recognition, Finger. Print Recognition, Matching.
Scope of the Article: Patterns and frameworks