NDLI: An effective algorithm for detecting valley of fingerprint based on wavelet transform

Content Provider	IEEE Xplore Digital Library
Author	Torii, K. Okamoto, N.
Copyright Year	2003
Description	Author affiliation: Graduate Sch. of Eng., Kanto Cakuin Univ., Yokohama, Japan (Torii, K.; Okamoto, N.)
Abstract	Personal authentication systems (PAS) using fingerprints are produced commercially and many profical applications in the real world have been reported many examples. However, in applying PAS, (1) deterioration of image quality by the influence of oily dirt adhering on the finger surface and (2) psychological resistance to using an input device touched by many users pose a difficult problem. The simplest method for solving this problem is to perform a visual input without physical contact. However, distinction of ridges and valleys is difficult with such a visual input in addition, edge extraction using differentiation filters etc. to portray images is another issue that has to be overcome. Therefore, a technique for extracting the valleys of fingerprints from a noncontact visual input using wavelet transform is proposed in this study. This technique, involved wavelet transforms and zone division before performing histogram equalization to the luminosity ingredient of the input picture. An edge picture was obtained by deleting the low-frequency signals from the divided signal group. Moreover, noise was removed by performing 0 value quantization on the high-frequency signals. After performing binarization, taking the curved surface form of the fingertip to obtain the edge picture without noise, a good valley was extracted by performing thinning with the algorithm of Deutsch. Our study shows the validity of the proposed technique; a reliable fingertip picture with a noncontact visual input was established.
Starting Page	1223
Ending Page	1226
File Size	248924
Page Count	4
File Format	PDF
ISBN	0780377818
ISSN	08407789
DOI	10.1109/CCECE.2003.1226119
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-05-04
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fingerprint recognition Wavelet transforms Surface resistance Low-frequency noise Authentication Image quality Fingers Psychology Filters Histograms
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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