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Proceedings Article

ASIE: application-specific image enhancement for face recognition

[+] Author Affiliations
E. Bilgazyev, U. Kurkure, S. K. Shah, I. A. Kakadiaris

Univ. of Houston (United States)

Proc. SPIE 8712, Biometric and Surveillance Technology for Human and Activity Identification X, 87120U (May 31, 2013); doi:10.1117/12.2019021
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From Conference Volume 8712

  • Biometric and Surveillance Technology for Human and Activity Identification X
  • Ioannis Kakadiaris; Walter J. Scheirer; Laurence G. Hassebrook
  • Baltimore, Maryland, USA | April 29, 2013

abstract

In this paper, we propose a novel method to enhance low quality images. Specifically, we focus on facial images. Low quality images are often degraded by motion artifacts, sensor limitations, and noise contamination leading to loss of higher order information that is essential for face recognition. First, we demonstrate that conventional denoising and deblurring methods are not able to fully recover the latent image resulting in residual artifacts in the image. Then, we present a novel approach for image enhancement that removes these residual artifacts using sparse encoding methods. The potential of the method is demonstrated through promising results on facial images for face recognition application. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

E. Bilgazyev ; U. Kurkure ; S. K. Shah and I. A. Kakadiaris
" ASIE: application-specific image enhancement for face recognition ", Proc. SPIE 8712, Biometric and Surveillance Technology for Human and Activity Identification X, 87120U (May 31, 2013); doi:10.1117/12.2019021; http://dx.doi.org/10.1117/12.2019021


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