SYMBOLIC REPRESENTATION OF EDGE LET FEATURES FORFACERECOGNITION: A NOVEL APPROACH

Authors

  • Yogish Naik Department of Studies in Computer Science and MCA, Kuvempu University, Karnataka Author
  • Prabhakar C. J. Department of Studies in Computer Science and MCA, Kuvempu University, Karnataka Author

Keywords:

Face recognition, interval valued representation

Abstract

This paper presents a new approach aimed to design a symbolic face recognition system. Edge let features for
face recognition are proposed in the paper, are incorporated in the feature vector used to design the patternrecognition system. Edge let feature lines are considered as new features based on previous studies relatedtoface recognition tasks. An identification scheme of the objects based on the proposed representation model andfeatures extraction is designed. The performance of the proposed face recognition system turns out to be 92%of correct classification tested on the ORL and Yale databases.

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Published

2017-05-31

Issue

Vol. 4 No. 5 (2017): May

Section

Articles