Open AccessA Robust Framework for Person Identification using Multimodal Biometrics for Future Technology
Author(s) -
Mukul Patil,
Pravin Patil
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.e2920.049620
Subject(s) - biometrics , computer science , python (programming language) , identification (biology) , human–computer interaction , artificial intelligence , iris recognition , embedded system , machine learning , operating system , botany , biology
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.