Face Recognition Using Nonlinear Feature Parameter and Artificial Neural Network

被引：6
|
作者：
Narayanan, N. K. [1 ]
Kabeer, V. [1 ]
机构：
[1] Kannur Univ, Sch Informat Sci & Technol, Kannur 670567, Kerala, India
来源：
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2010年 / 3卷 / 05期
关键词：
Face recognition; Feature extraction; State space parameters; Fractal dimension; Artificial Neural Network; Pattern Classification;
D O I：
10.1080/18756891.2010.9727723
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper reports a study of nonlinear nature of face image. A novel feature extraction method using state space feature parameter for the recognition of face images is studied. The results of simulation experiments performed on the standard AT & T face database using both Artificial Neural Network and K-Nearest Neighbour recognition algorithms based on Nonlinear Feature Parameter (NLFP) is also presented. Overall recognition accuracy obtained is better for ANN algorithm and is 98.5%.
引用
收藏
页码：566 / 574
页数：9
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