• Priti Neulkar
• kanchan Dhote

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.

Hybrid approach for face recognition, Mallets Wavelet Transform, Energy Calculation ,Artificial neural network, Feature extraction, classification

"Mallats Wavelet Transform for Face Recognition using Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 7, page no.949-954, December-2014, Available :http://www.jetir.org/papers/JETIR1407070.pdf

"Mallats Wavelet Transform for Face Recognition using Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 7, page no. pp949-954, December-2014, Available at : http://www.jetir.org/papers/JETIR1407070.pdf