Fingerprint recognition algorithm development using directional information in wavelet transform domain

Author

Lee, Woo Kyu ; Chung, Jae Ho

Author_Institution

Dept. of Electron. Eng., Inha Univ., Inchon, South Korea

Volume

2

fYear

1997

fDate

9-12 Jun 1997

Firstpage

1201

Abstract

In this paper, a fingerprint recognition algorithm is suggested. The algorithm is developed based on the wavelet transform, and the dominant local orientation which is derived from the coherence and the gradient of Gaussian. By using the wavelet transform, the algorithm does not require conventional preprocessing procedures such as smoothing, binarization, thinning and restoration. Computer simulation results show that when the rate of Type II error-incorrect recognition of two different fingerprints as identical fingerprints-is held at 0.0%, the rate of Type I error-Incorrect recognition of two identical fingerprints as different ones-turns out as 2.5% in real time

Keywords

feature extraction; fingerprint identification; wavelet transforms; Type I error; Type II error; coherence; directional information; dominant local orientation; fingerprint recognition algorithm; gradient of Gaussian; wavelet transform domain; Coherence; Computer errors; Feature extraction; Fingerprint recognition; Image matching; Image restoration; Signal processing algorithms; Smoothing methods; Wavelet domain; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on

Print_ISBN

0-7803-3583-X

Type

conf

DOI

10.1109/ISCAS.1997.622028

Filename

622028