International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 76 - Number 3 |
Year of Publication: 2013 |
Authors: Nisha Soni, Mahendra Kumar, Garima Mathur |
10.5120/13225-0647 |
Nisha Soni, Mahendra Kumar, Garima Mathur . Face Recognition using SOM Neural Network with Different Facial Feature Extraction Techniques. International Journal of Computer Applications. 76, 3 ( August 2013), 7-11. DOI=10.5120/13225-0647
This paper deals with 3 different techniques for feature extraction of image. Face detection is a necessary first-step in face recognition systems, with the purpose of localizing and extracting the face region from the background. The Self-Organizing Map (SOM) Neural Network has been used for training of database and simulation of FR system. The developed algorithm for the face recognition system formulates an image-based approach, using discrete wavelet transform (DWT), discrete cosine transform (DCT) and Sobel edge detection, simulated in MATLAB. Simulation results are very promising.