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Bio-ID: Biologically inspired identification and recognition system
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Journal of Biometrics & Biostatistics

ISSN: 2155-6180

Open Access

Bio-ID: Biologically inspired identification and recognition system


2nd International Conference and Exhibition on Biometrics & Biostatistics

June 10-12, 2013 Hilton Chicago/Northbrook, USA

E. O. Nwoye

Scientific Tracks Abstracts: J Biomet Biostat

Abstract :

Bio-ID is a biometric based identification technique utilizing many biometric options (DNA, Iris, Palmprint etc.) especially the fingerprint and face to correctly identify the individual for purposes of financial transactions, personal identification, immigration documentations (passport) and transportation licenses (drivers licenses). It is a complete nature inspired identification and recognition system. BioID means no more bank cards (debit or credit cards), no more even store cards, no more plastic or paper ID-cards, no more paper or e-passport and no more plastic drivers� licenses. Simply there is no more wallet and its contents. In Bio-ID new technology is created with its new employment opportunities together with emphasis on the novel soft scanner and soft camera technology innovatio

Biography :

Ephraim Nwoye had a Ph.D. from Newcastle University, United Kingdom in 2006. He has worked as an engineer with the following organizations: Philips Electronics; Powertron Nig. Ltd; Biomedical Eng Dept, Ahmadu Bello University Teaching Hospital; Newcastle University, UK; Middleborough College, UK; Newcastle College UK, Senior Lecturer in Clinical Engineering, Tshwane University of Technology, Pretoria, South Africa and currently a senior Lecturer and Head of Department of Biomedical Engineering, College of Medicine of the University of Lagos, Nigeria. His research areas include but not limited to Medical Imaging, Signal/Image Processing; Nature or Biologically Inspired Technology, Biometrics, Sensors and Body Implants; Clinical Engineering and/or Application of Engineering in Healthcare Delivery and have over twenty published works in these areas.

Google Scholar citation report
Citations: 3254

Journal of Biometrics & Biostatistics received 3254 citations as per Google Scholar report

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