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Optimization of decision making for face recognition based on nonlinear correlation plane.

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Title: Optimization of decision making for face recognition based on nonlinear correlation plane.
Authors: Alfalou, A.1 ayman.al-falou@isen.fr, Brosseau, C.2, Kaddah, W.1
Source: Optics Communications. May2015, Vol. 343, p22-27. 6p.
Subjects: Human facial recognition software, Optical correlation, Decision making, Nonlinear systems, Robust control, Mathematical optimization
Abstract: We report on a specific procedure in the correlation plane which allows us to make more robust and discriminating decision for face recognition applications. In this scheme, we multiply the correlation plane by a nonlinear function which is chosen to increase the correlation peak, reduce the autocorrelation noise, and increase the inter-correlation noise. In our work we present tests using a VanderLugt correlator (VLC) fabricated with different filters (phase-only filter (POF), composite POF) and we also discuss the efficiency of the protocol using peak-to-correlation-energy measures. Rewardingly, our technical results demonstrate that this method is remarkably efficient to increase both robustness and discrimination performances of a VLC. [ABSTRACT FROM AUTHOR]
Copyright of Optics Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 101341185
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Optics+Communications%22">Optics Communications</searchLink>. May2015, Vol. 343, p22-27. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Human+facial+recognition+software%22">Human facial recognition software</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+correlation%22">Optical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+systems%22">Nonlinear systems</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink>
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  Label: Abstract
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  Data: We report on a specific procedure in the correlation plane which allows us to make more robust and discriminating decision for face recognition applications. In this scheme, we multiply the correlation plane by a nonlinear function which is chosen to increase the correlation peak, reduce the autocorrelation noise, and increase the inter-correlation noise. In our work we present tests using a VanderLugt correlator (VLC) fabricated with different filters (phase-only filter (POF), composite POF) and we also discuss the efficiency of the protocol using peak-to-correlation-energy measures. Rewardingly, our technical results demonstrate that this method is remarkably efficient to increase both robustness and discrimination performances of a VLC. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Optics Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/j.optcom.2015.01.017
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      – Code: eng
        Text: English
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        PageCount: 6
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    Subjects:
      – SubjectFull: Human facial recognition software
        Type: general
      – SubjectFull: Optical correlation
        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Nonlinear systems
        Type: general
      – SubjectFull: Robust control
        Type: general
      – SubjectFull: Mathematical optimization
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      – TitleFull: Optimization of decision making for face recognition based on nonlinear correlation plane.
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              Text: May2015
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