Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Face Representation and Face Recognition using Optimized Local Ternary Patterns (OLTP)

  • Raja, G. Madasamy (Dept. of Information Technology, PET Engineering College) ;
  • Sadasivam, V. (Dept. of Computer Science and Engineering, Manonmaniam Sundaranar University)
  • Received : 2015.07.31
  • Accepted : 2016.07.19
  • Published : 2017.01.02
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Abstract

For many years, researchers in face description area have been representing and recognizing faces based on different methods that include subspace discriminant analysis, statistical learning and non-statistics based approach etc. But still automatic face recognition remains an interesting but challenging problem. This paper presents a novel and efficient face image representation method based on Optimized Local Ternary Pattern (OLTP) texture features. The face image is divided into several regions from which the OLTP texture feature distributions are extracted and concatenated into a feature vector that can act as face descriptor. The recognition is performed using nearest neighbor classification method with Chi-square distance as a similarity measure. Extensive experimental results on Yale B, ORL and AR face databases show that OLTP consistently performs much better than other well recognized texture models for face recognition.

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References

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