A grid based iris biometric watermarking using wavelet transform

Author

Lydia, Elizabeth B. ; Duraipandi, C. ; Pratap, Anju ; Rhymend, Uthariaraj V.

Author_Institution

Dept. of Inf. Technol., Anna Univ., Chennai, India

fYear

2014

fDate

10-12 April 2014

Firstpage

1

Lastpage

6

Abstract

Watermarking is the most smart and appropriate technique for copyright protection and security of multimedia data. Watermarking has been recommended for the civilizing security of biometric systems. Conversely Iris recognition is regard as the most trustworthy and exact biometric identification system accessible. This paper extracted iris feature using a novel grid based approach a Canny Edge Detection (CED) algorithm. The grid based watermarking algorithm uses a hybrid Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT) and method. This method provides a scalable, secure, strong and undetectable form of watermarking. This proposed scheme minimizing fault acceptance rate and the fault error rate in very efficient manner.

Keywords

discrete wavelet transforms; edge detection; feature extraction; image watermarking; iris recognition; security of data; singular value decomposition; CED algorithm; DWT; SVD; biometric identification system; canny edge detection algorithm; copyright protection; discrete wavelet transform; grid based iris biometric watermarking; iris feature extraction; iris recognition; multimedia data security; singular value decomposition; Discrete wavelet transforms; Feature extraction; Image edge detection; Image segmentation; Iris recognition; Watermarking; Biometric watermarking; CED; DWT; Grid Formation; SVD;

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Trends in Information Technology (ICRTIT), 2014 International Conference on

Conference_Location

Chennai

Type

conf

DOI

10.1109/ICRTIT.2014.6996169

Filename

6996169