Clever use of Meyer wavelet for iris recognition

被引：0

作者：

Kallel, Imene Khanfir ^{[1
,2
]}

Bouhamed, Sonda Ammar ^{[1
]}

Akrout, Belhassen ^{[3
]}

机构：

[1] Sfax Engn Sch, CEM Lab, BP W, Sfax 3038, Tunisia

[2] IMT Atlantique, iTi Dept, Brest, France

[3] Univ Sfax, ISIMS Pole Technol Sfax, MIRACL Lab, Sfax, Tunisia

来源：

2017 3RD INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP) | 2017年

关键词：

Biometry; iris; texture analysis; Meyer wavelet; decision; evaluation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An iris recognition requires parametric modeling texture. The extracted model should characterize the individual corresponding to considered iris. Such a model is often referred to as biometric signature. Several approaches to uniquely specify an iris by extracting parameters characteristic of its texture exist in the literature. An original approach based on an analysis by the Meyer wavelet of the iris texture is detailed in this paper. A comparative study between our approach and some techniques that have been studied, implemented and tested in subsequent work is carried out on the CASIA V.1 database. The experimental results show that the proposed method has promising performances.

引用

页码：281 / 286

页数：6

共 27 条

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