Face Recognition Using Som Neural Network With Ddct Facial Feature Extraction Techniques

被引：0
|
作者：
Jadon, Swati [1 ]
Kumar, Mahendra [2 ]
Rathi, Yogesh [1 ]
机构：
[1] YIT, Dept Comp Sci & Engn, Jaipur, Rajasthan, India
[2] RTU, Dept Elect & Commun Engn, Univ Coll Engn, Kota, India
来源：
2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP) | 2015年
关键词：
Face Recognition (FR); Directional Discrete Cosine Transform (DDCT); Discrete Cosine Transform (DCT); Discrete Wavelet Transform (DWT); Sobel Edge detection (SED); SOM Neural Network; DCT;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper deals with 4 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 Directional discrete cosine transform (DDCT), discrete wavelet transform (DWT), discrete cosine transform (DCT) and Sobel edge detection, simulated in MATLAB. Simulation results are very promising.
引用
收藏
页码：1070 / 1074
页数：5
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