International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 76 - Issue 3 |
Published: August 2013 |
Authors: Nisha Soni, Mahendra Kumar, Garima Mathur |
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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
@article{ 10.5120/13225-0647, author = { Nisha Soni,Mahendra Kumar,Garima Mathur }, title = { Face Recognition using SOM Neural Network with Different Facial Feature Extraction Techniques }, journal = { International Journal of Computer Applications }, year = { 2013 }, volume = { 76 }, number = { 3 }, pages = { 7-11 }, doi = { 10.5120/13225-0647 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2013 %A Nisha Soni %A Mahendra Kumar %A Garima Mathur %T Face Recognition using SOM Neural Network with Different Facial Feature Extraction Techniques%T %J International Journal of Computer Applications %V 76 %N 3 %P 7-11 %R 10.5120/13225-0647 %I Foundation of Computer Science (FCS), NY, USA
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.