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FPGA Based Facial Recognition System · Peerford

Article · Journal · 2022

FPGA Based Facial Recognition System

M. Izuddeen, M. K. Naja’atu, M. U. Ali, Muhammad Abdullahi, Muhammad Ahmad Baballe, A. U. Tofa and 1 more

Journal of Engineering Research and Reports

Open access · Diamond

Read it 10.9734/jerr/2022/v22i817557

Citations: 6from other works
Field-weighted impact: 0.401.00 is the world average for its field and year
Among its field: 55th percentileby citations, against works of its field and year
Authors: 7from 2 institutions

Authors

7 authors across 2 institutions in 1 country

M. IzuddeenFirst author
- Kano State University of Technology (NG)
M. K. Naja’atu
- Kano State Polytechnic (NG)
- Kano State University of Technology (NG)
M. U. Ali
- Kano State University of Technology (NG)
Muhammad Abdullahi
- Kano State University of Technology (NG)
as printed: M. B. Abdullahi
Muhammad Ahmad Baballe
- Kano State Polytechnic

(NG)

Kano State University of Technology (NG)

as printed: A. M. Baballe

Kano State Polytechnic (NG)
Kano State University of Technology (NG)

MARYAM HASSAN GAMBOSenior author

Yobe State University (NG)

as printed: M. Gambo

Development goals

9Industry, innovation and infrastructure

Funded by

Tertiary Education Trust Fund

Country

Nigeria

Fields

A work can sit in several, each with a score

Face and Expression RecognitionTopic