Mallats Wavelet Transform for Face Recognition using Artificial Neural Network
Priti Neulkar, Kanchan Dhote · Journal of Emerging Technologies and Innovative Research · 2014
This paper represents face recognition using Mallets Wavelet Transform and Artificial Neural Network. Various methods are implemented for the face recognition system since many years. Improving efficiency and creating a robust face recognition system is the main aim of implementing new single method or combination of methods. This paper represents hybrid method where Artificial Neural Networks (ANN) classifiers is combined with Mallets Wavelet Transform. Developing face recognition includes three stages image acquisition and preprocessing, feature extraction and classification. In the proposed method Mallats Wavelet Transform is implemented for feature extraction method and Artificial Neural Network for classification. ANN is better classifier as compared with other since it can be taught to take decisions as humans can take. It also adapt better with the changes in environment. ANN is also efficient as compared to the other classifiers.