Face Representation and Face Recognition using Optimized Local Ternary Patterns (OLTP)

다국어 초록 (Multilingual 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.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Face Description Algorithm
• 3. Texture Measures Used in This Study
• 4. Experimental Analysis
• 5. Conclusion and Future Scope
• References

참고문헌 (Reference)

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