FACE RECOGNITION USING STATIONARY WAVELET AND NEURAL NETWORK | ||
| AL-TAQANI | ||
| Article 1, Volume 27, Issue 1, February 2014, Pages 0-0 | ||
| Author | ||
| Ahkam K. Naji | ||
| Abstract | ||
| In this paper, Face recognition system are analyzed and classified based on a new approach, Stationary Wavelet and Neural Network (NN). In this method, the resulting coefficients were computed by the proposed stationary wavelet transform for single-level decomposition. The low pass sub bands of the upper left corner are considered in the proposed method as a resemblance and a smaller version of the original image. The NN of low coefficients is obtained. This method gave an excellent result for a database of 400 different images which indicate that the suggested algorithm is an excellent tool to process the database of standard pose of image. The algorithm is implemented using MATLAB programming languages version R2011a | ||
| Keywords | ||
| Face Recognition; Stationary Wavelet Transform; neural network | ||
|
Statistics Article View: 120 PDF Download: 98 |
||