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http://dx.doi.org/10.3745/KIPSTB.2003.10B.4.459

Wavelet Transform Technology for Translation-invariant Iris Recognition  

Lim, Cheol-Su (서경대학교 컴퓨터공학과)
Abstract
This paper proposes the use of a wavelet based image transform algorithm in human iris recognition method and the effectiveness of this technique will be determined in preprocessing of extracting Iris image from the user´s eye obtained by imaging device such as CCD Camera or due to torsional rotation of the eye, and it also resolves the problem caused by invariant under translations and dilations due to tilt of the head. This technique values through the proposed translation-invariant wavelet transform algorithm rather than the conventional wavelet transform method. Therefore we extracted the best-matching iris feature values and compared the stored feature codes with the incoming data to identify the user. As result of our experimentation, this technique demonstrate the significant advantage over verification when it compares with other general types of wavelet algorithm in the measure of FAR & FRR.
Keywords
Iris Recognition; Haar Wavelet; Dilated Mother Wavelet;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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