Article

System level design of real time face recognition architecture based on composite PCA

Authors:

Rajkiran Gottumukkal,

Vijayan K. AsariAuthors Info & Claims

GLSVLSI '03: Proceedings of the 13th ACM Great Lakes symposium on VLSI

Pages 157 - 160

https://doi.org/10.1145/764808.764849

Published: 28 April 2003 Publication History

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Abstract

Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recognition is presented in this paper. The proposed architecture performs the tasks of both feature extraction and classification. Composite PCA takes in to consideration the local features of face images, which do not vary widely between face images of the same person taken under varying expression, illumination and pose. Hence it leads to a better recognition rate than PCA. Composite PCA has more parallelism than conventional PCA and this parallelism is utilized to design an efficient architecture capable of performing real-time face recognition. The face recognition system is implemented in an FPGA environment and tested using standard databases. The system is able to recognize a person from a database of 110 images of 10 individuals in approximately 4 ms.

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Cited By

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Cadena JVilla MMartínez MAcurio JChacón L(2023)An Efficient Technique for Global Facial Recognition using Python and OpenCV in 2D ImagesWSEAS TRANSACTIONS ON SYSTEMS AND CONTROL10.37394/23203.2023.18.518(47-57)Online publication date: 23-Mar-2023
https://doi.org/10.37394/23203.2023.18.5
Shalini AR RY. M. NAnitha RSagar LRaheem M(2023)A Survey Paper on Classroom Monitoring System2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS)10.1109/ICAECIS58353.2023.10170190(647-650)Online publication date: 19-Apr-2023
https://doi.org/10.1109/ICAECIS58353.2023.10170190
Juneja K(2017)A Noise Robust VDD Composed PCA-LDA Model for Face RecognitionInformation, Communication and Computing Technology10.1007/978-981-10-6544-6_21(216-229)Online publication date: 11-Oct-2017
https://doi.org/10.1007/978-981-10-6544-6_21
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Index Terms

System level design of real time face recognition architecture based on composite PCA
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems

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Published In

GLSVLSI '03: Proceedings of the 13th ACM Great Lakes symposium on VLSI

April 2003

320 pages

ISBN:1581136773

DOI:10.1145/764808

General Chair:
Mircea Stan
University of Virginia
,
Program Chairs:
David Garrett
Bell Labs Research, Lucent Technologies
,
Kazuo Nakajima
University of Maryland

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 28 April 2003

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April 28 - 29, 2003

D. C., Washington, USA

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Overall Acceptance Rate 312 of 1,156 submissions, 27%

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Cited By

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Cadena JVilla MMartínez MAcurio JChacón L(2023)An Efficient Technique for Global Facial Recognition using Python and OpenCV in 2D ImagesWSEAS TRANSACTIONS ON SYSTEMS AND CONTROL10.37394/23203.2023.18.518(47-57)Online publication date: 23-Mar-2023
https://doi.org/10.37394/23203.2023.18.5
Shalini AR RY. M. NAnitha RSagar LRaheem M(2023)A Survey Paper on Classroom Monitoring System2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS)10.1109/ICAECIS58353.2023.10170190(647-650)Online publication date: 19-Apr-2023
https://doi.org/10.1109/ICAECIS58353.2023.10170190
Juneja K(2017)A Noise Robust VDD Composed PCA-LDA Model for Face RecognitionInformation, Communication and Computing Technology10.1007/978-981-10-6544-6_21(216-229)Online publication date: 11-Oct-2017
https://doi.org/10.1007/978-981-10-6544-6_21
Mohan ASudha NMeher P(2008)An embedded face recognition system on A VLSI array architecture and its FPGA implementation2008 34th Annual Conference of IEEE Industrial Electronics10.1109/IECON.2008.4758338(2432-2437)Online publication date: Nov-2008
https://doi.org/10.1109/IECON.2008.4758338
Sudha NMohan AMeher P(2008)Systolic array realization of a neural network-based face recognition system2008 3rd IEEE Conference on Industrial Electronics and Applications10.1109/ICIEA.2008.4582843(1864-1869)Online publication date: Jun-2008
https://doi.org/10.1109/ICIEA.2008.4582843
Gottumukkal RNgo HAsari V(2006)Multi-lane architecture for eigenface based real-time face recognitionMicroprocessors and Microsystems10.1016/j.micpro.2005.07.00330:4(216-224)Online publication date: Jun-2006
https://doi.org/10.1016/j.micpro.2005.07.003
Ngo HGottumukkal RAsari V(2005)A Flexible and Efficient Hardware Architecture for Real-Time Face Recognition Based on EigenfaceProceedings of the IEEE Computer Society Annual Symposium on VLSI: New Frontiers in VLSI Design10.1109/ISVLSI.2005.5(280-281)Online publication date: 11-May-2005
https://dl.acm.org/doi/10.1109/ISVLSI.2005.5

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A New Hybrid Approach Using PCA for Pose Invariant Face Recognition

Illumination-robust face recognition based on Gabor feature face intrinsic identity PCA model

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