Palmprint Recognition Using Polynomial Neural Network

被引：0
|
作者：
Huang, LinLin [1 ]
Li, Na [1 ]
机构：
[1] Beijing Univ Aeronaut & Astronaut, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2010, PT 2, PROCEEDINGS | 2010年 / 6064卷
关键词：
Palmprint; recognition; polynomial; neural network;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose a robust palmprint recognition approach. Firstly, a salient-point based method is applied to segment as well as align the region of interest (ROI) from the palmprint image. Then, a subspace projection technique, namely, independent component analysis (ICA) is performed on the ROI to extract features. Finally, a polynomial neural network (PNN) is used to make classification on reduced feature subspace. The effectiveness of the proposed method has been demonstrated in experiments.
引用
收藏
页码：208 / 213
页数：6
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