Thenar palmprint Image Denoising Based on Intermediary Filter

被引：0
|
作者：
Dai, Yueming [1 ]
Zhu, Xijun [2 ]
机构：
[1] Xuzhou Inst Technol, Dept Informat & Elect Engn, Xuzhou 221111, Jiangsu, Peoples R China
[2] Qingdao Univ Sci & Technol, Coll Informat Sci & Technol, Qingdao 266061, Peoples R China
来源：
ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING II, PTS 1-3 | 2013年 / 433-435卷
关键词：
image demonizing; the intermediary filtering algorithm; the intermediary mathematical system;
D O I：
10.4028/www.scientific.net/AMM.433-435.338
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, based on the value measure of the Intermediary truth value, the Intermediary filtering algorithm is applied to the thenar palmprint image preprocessing. By using the Objective indicators of peak signal to noise ratio (PSNR), it can be seen that compared with the classical de-noising algorithm, the intermediary filtering algorithm is more effective and practicable.
引用
收藏
页码：338 / +
页数：2
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