Implementation of Face Recognition Algorithm on Fields Programmable Gate Array Card

The evolution of today's application technologies requires a certain level of robustness, reliability and ease of integration. We choose the Fields Programmable Gate Array (FPGA) hardware description language to implement the facial recognition algorithm based on "Eigen faces" using P...

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Published in:Nashrīyah-i mudīrīyat-i fannāvarī-i iṭṭilāʻāt Vol. 12; no. 2; pp. 40 - 58
Main Authors: Fatima Zohra Allam, Latifa Hamami-Mitiche, Hicham Bousbia-Salah
Format: Journal Article
Language:English
Published: University of Tehran 01.06.2020
Subjects:
fields programmable gate array
manhattan distance
principal component analysis
vhsic hardware description language
ISSN:2008-5893, 2423-5059
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Abstract The evolution of today's application technologies requires a certain level of robustness, reliability and ease of integration. We choose the Fields Programmable Gate Array (FPGA) hardware description language to implement the facial recognition algorithm based on "Eigen faces" using Principal Component Analysis. In this paper, we first present an overview of the PCA used for facial recognition, then use a VHSIC Hardware Description Language (VHDL) simulation and design platform, which is the ISE. We describe the operation of each block and implement, thereafter, the computation of the global centered images. This corresponds to the first step of the PCA algorithm to assess its performance. The comparison of the results of this implementation with that of MATLAB confirmed the operability and effectiveness of this method for centralizing images. We also implemented the last part of this algorithm which is the computation of the Manhattan distance. The tests have given very satisfactory results.
AbstractList The evolution of today's application technologies requires a certain level of robustness, reliability and ease of integration. We choose the Fields Programmable Gate Array (FPGA) hardware description language to implement the facial recognition algorithm based on "Eigen faces" using Principal Component Analysis. In this paper, we first present an overview of the PCA used for facial recognition, then use a VHSIC Hardware Description Language (VHDL) simulation and design platform, which is the ISE. We describe the operation of each block and implement, thereafter, the computation of the global centered images. This corresponds to the first step of the PCA algorithm to assess its performance. The comparison of the results of this implementation with that of MATLAB confirmed the operability and effectiveness of this method for centralizing images. We also implemented the last part of this algorithm which is the computation of the Manhattan distance. The tests have given very satisfactory results.
Author Latifa Hamami-Mitiche
Fatima Zohra Allam
Hicham Bousbia-Salah
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  fullname: Hicham Bousbia-Salah
  organization: Signal and Communication Laboratory, Department of Electronics, National Polytechnic School, Algeria
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SubjectTerms fields programmable gate array
manhattan distance
principal component analysis
vhsic hardware description language
Title Implementation of Face Recognition Algorithm on Fields Programmable Gate Array Card
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