Normalized Feature Representation with Resolution Mapping For Face Image Recognition

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 5

Abstract

Abstract: This paper develops an approach for face feature representation under variant resolution condition with normalized face distribution. In the approach of face feature extraction, SVD based approach for Eigen space representation is been used. To optimize the feature representation under various input conditions, anovel approach for feature representationunder variant scales and its recognition is proposed. The effect of scalingover different resolutions and variation in face feature distribution is evaluated. A normalization approach to face feature representation with scale mapped feature is presented. The simulation observations under variant scaling condition on YALE face dataset is carried out. An improvementin the recognition accuracy under these variant conditions was observed.

Authors and Affiliations

Raghavendra Kulkarni, , Dr. Sharanbasaveshwar . G. Hiremath, , Dr. P. Nageswara Rao

Keywords

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  • EP ID EP127690
  • DOI -
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How To Cite

Raghavendra Kulkarni, , Dr. Sharanbasaveshwar . G. Hiremath, , Dr. P. Nageswara Rao (2015).  Normalized Feature Representation with Resolution Mapping For Face Image Recognition. IOSR Journals (IOSR Journal of Computer Engineering), 17(5), 1-14. https://europub.co.uk/articles/-A-127690