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Study on color space for the performance of degraded face image recognition

Liu, Xinwei; Pedersen, Marius; Charrier, Christophe; Bours, Patrick
Journal article, Peer reviewed
Published version
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Liu2018.pdf (Locked)
URI
http://hdl.handle.net/11250/2582438
Date
2018
Metadata
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  • Institutt for datateknologi og informatikk [5024]
  • Institutt for informasjonssikkerhet og kommunikasjonsteknologi [2002]
  • Publikasjoner fra CRIStin - NTNU [26746]
Original version
IS&T International Symposium on Electronic Imaging Science and Technology. 2018, 369-1-369-6.   10.2352/ISSN.2470-1173.2018.07.MWSF-369
Abstract
Color provides important information and features for face recognition. Different color spaces possess different characteristics and are suitable for different applications. In this paper, we propose to investigate how different color space components influence the performance of degraded face recognition. Towards this goal, nine color space components are selected for the evaluation. In addition, four different types of image-based degradations are applied to face image samples in order to discover the impact on the performance of face recognition. The experimental results show that, all selected color components have similar influence to the performance of face recognition system depend on the acquisition devices and the experimental setups.
Publisher
Society for Imaging Science & Technology
Journal
IS&T International Symposium on Electronic Imaging Science and Technology

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