Performance Analysis of Feature Extraction Technique for Facial Expression Recognition
نویسندگان
چکیده
Facial Expression Recognition has been a very important topic for research in computer pattern recognition and currently there is no method of facial Expression recognition system that have 100% recognition rate. The purpose of this research paper is to analysis of performance of Gabor filter and average Gabor filter. Feature extraction is the key step on which recognition rate depends for facial gesture recognition. For increasing the recognition rate using different ways or projection should be extract but there is probability of increasing of redundancy which can be responsible of reducing the recognition rate. High dimension and high redundancy is a problem issue for Gabor while it has maximum variance of features. Index term: Gabor Filter, Facial Expression, Recognition rate
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