A New Fractional Random Wavelet Transform for Fingerprint Security

被引：38
|
作者：
Bhatnagar, Gaurav [1 ]
Wu, Q. M. Jonathan [1 ]
Raman, Balasubramanian [2 ]
机构：
[1] Univ Windsor, Dept Elect & Comp Engn, Windsor, ON N9B 3P4, Canada
[2] Indian Inst Technol, Dept Math, Roorkee 247667, Uttar Pradesh, India
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS | 2012年 / 42卷 / 01期
关键词：
Biometrics; chaotic map; fractional random wavelet transform; fractional wavelet transform; security; wavelet transform; FOURIER-TRANSFORM; ENCRYPTION;
D O I：
10.1109/TSMCA.2011.2147307
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this correspondence paper, the wavelet transform, which is an important tool in signal and image processing, has been generalized by coalescing wavelet transform and fractional random transform. The new transform, i.e., fractional random wavelet transform (FrRnWT) inherits the excellent mathematical properties of wavelet transform and fractional random transform. Possible applications of the proposed transform are in biometrics, image compression, image transmission, transient signal processing, etc. In this correspondence paper, biometrics is chosen as the primary application; and hence, a new technique is proposed for securing fingerprints during communication and transmission over insecure channel.
引用
收藏
页码：262 / 275
页数：14
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