Adaptive gabor wavelet for efficient object recognition

Authors:
In Ja Jeon;Mi Young Nam;Phill Kyu Rhee
Affiliations:
Dept. Of Computer Science & Engineering, Inha University, Incheon, South Korea;Dept. Of Computer Science & Engineering, Inha University, Incheon, South Korea;Dept. Of Computer Science & Engineering, Inha University, Incheon, South Korea
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Year:
2005

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Abstract

This paper describes, using situational awareness and Genetic algorithm, a run-time optimization methodology of the Gabor wavelet parameters so that it produces a feature space for efficient object recognition. Gabor wavelet efficiently extracts the feature space of orientation selectivity, spatial frequency and spatial localization. Most previous object recognition approaches using Gabor wavelet do not include systematic optimization of the parameters for the Gabor kernel, even though the system performance might be much sensitive to the characteristics of the Gabor parameters. This paper explores efficient object recognition using adaptive Gabor wavelet based situational aware method. The superiority of the proposed system is shown using IT-Lab, FERET and Yale face database. We achieved encouraging experimental results.