Partially-occluded face recognition using weighted module linear regression classification

Yang Ting Chou, Jar-Ferr Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Accuracy and speed of face recognition frameworks are two foremost concerns for practical applications in recent researches. Linear regression classification (LRC) is a very famous and powerful approach for face recognition; however, it cannot perform very well under occlusion situations. In this paper, the regression parameters of the module-LRC are analyzed when a query facial image is partially occluded. For removing contaminated modules, the weighted module linear regression classification (WMLRC) is proposed. In order to evaluate the effectiveness, AR face database is used to validate the proposed WMLRC as well as the well-known face recognition methods. Simulation results show that the proposed WMLRC method achieves the best performance for partially-occluded faces while keeping the advantage in speed over the SRC-based approaches.

Original languageEnglish
Title of host publicationISCAS 2016 - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages578-581
Number of pages4
ISBN (Electronic)9781479953400
DOIs
Publication statusPublished - 2016 Jul 29
Event2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 - Montreal, Canada
Duration: 2016 May 222016 May 25

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2016-July
ISSN (Print)0271-4310

Other

Other2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
CountryCanada
CityMontreal
Period16-05-2216-05-25

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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  • Cite this

    Chou, Y. T., & Yang, J-F. (2016). Partially-occluded face recognition using weighted module linear regression classification. In ISCAS 2016 - IEEE International Symposium on Circuits and Systems (pp. 578-581). [7527306] (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 2016-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2016.7527306