Journal of Biometrics & Biostatistics

Nadia AL-Hassan

Publications

• Review Article
  Face Recognition in Uncontrolled Condition: Can Compressive Sen sing and Super-Resolution Meet the Challenge?
  Author(s): Sabah A Jassim and Nadia AL-HassanSabah A Jassim and Nadia AL-Hassan
  
  This paper is concerned with face recognition under uncontrolled conditions, e.g. at a distance in surveillance scenarios, and post-rioting forensic, whereby captured face images are severely degraded/blurred and of low resolution. This is a tough challenge due to many factors including difficulties in determining a model for image degradation that encompasses a range of realistic capturing conditions. We present the results of our investigations into recently developed Compressive Sensing (CS) theory to develop scalable face recognition schemes using a variety of overcomplete dictionaries that construct super-resolved face images from any input low-resolution degraded face image. We shall demonstrate that deterministic as well as non-deterministic dictionaries that do not involve the use of face image information but satisfy some form of the Restricted Isometry Property (RIP) used fo.. Read More»
  DOI: 10.4172/2155-6180.1000171

  Abstract PDF