Iris Based Recognition System Using Wavelet Transform

被引：0
|
作者：
Narote, Sandipan P. [1 ]
Narotte, Abhilasha S. [2 ]
Waghmare, Laxman M. [3 ]
机构：
[1] Univ Pune, Sinhgad Coll Engn, Pune, Maharashtra, India
[2] Univ Pune, Smt Kashibai Navale Coll Engn, Pune, Maharashtra, India
[3] SRTM Univ, SGGS Coll Engn & Technol, Nanded, India
来源：
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2009年 / 9卷 / 11期
关键词：
Iris recognition; wavelets; feature extraction; pattern matching and hamming distance;
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：
Iris recognition is known as an inherently reliable technique for human identification. Feature extraction is a crucial step for iris recognition and important task. The extracted features are used for matching. Different wavelet transforms have been used by different researchers for feature extraction in iris recognition. Also many researchers extract features using different coefficient such has horizontal, vertical, diagonal or combination of them. In this work we have used SCOE-Iris v. 1 database consisting of 2750 images, acquired in the signal processing laboratory at Sinhgad College of Engineering, Pune, India. In this work different basis wavelet are used for feature extraction and their performance is evaluated. The optimal wavelet transform is determined. Experimental results show that this algorithm are efficient and gives acceptable accuracy
引用
收藏
页码：101 / 104
页数：4
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