The Improved Algorithm of Scale Invariant Feature Transform on Palmprint Recognition

被引：1
|
作者：
Qu, Zhong [1 ]
Wang, Zhengyong [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Coll Comp Sci & Technol, Chongqing 400065, Peoples R China
来源：
NEW TRENDS AND APPLICATIONS OF COMPUTER-AIDED MATERIAL AND ENGINEERING | 2011年 / 186卷
关键词：
palmprint recognition; scale invariant feature transform; Euclidean distance; weighted sub-region;
D O I：
10.4028/www.scientific.net/AMR.186.565
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents a new method of palmprint recognition based on improved scale invariant feature transform (SIFT) algorithm which combines the Euclidean distance and weighted sub-region. It has the scale, rotation, affine, perspective, illumination invariance, and also has good robustness to the target's motion, occlusion, noise and other factors. Simulation results show that the recognition rate of the improved SIFT algorithm is higher than the recognition rate of SIFT algorithm.
引用
收藏
页码：565 / 569
页数：5
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