Robust Face Recognition Technique with ANFIS in Compared with Feedforward Backpropagation Neural Network Using Specific Features of Wavelet Transform and HOG

Abstract

The aims of the research were to study a face recognition using ANFIS (Adaptive Neuro-Fuzzy Inference System) technique to compared with feedforward backpropagation neural network that used specific Features of Wavelet Transform and HOG (Histogram of Oriented Gradients for feature extraction). The result found that the accuracy of ANFIS face recognition technique was 99% and feedforward back propagation neural network was 98 %.

Authors and Affiliations

Thoedsak Sukdao, Surasak Mungsing, Katanyoo Klabsuwan

Keywords

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  • EP ID EP598766
  • DOI -
  • Views 215
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How To Cite

Thoedsak Sukdao, Surasak Mungsing, Katanyoo Klabsuwan (2018). Robust Face Recognition Technique with ANFIS in Compared with Feedforward Backpropagation Neural Network Using Specific Features of Wavelet Transform and HOG. International Journal of the Computer, the Internet and Management, 26(1), 82-95. https://europub.co.uk/articles/-A-598766