Automatic real-time identification of fingerprint images using wavelets and gradient of Gaussian

Author

Lee, Woo Kyu ; Chung, Jae Ho

Author_Institution

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

Volume

2

fYear

1997

fDate

3-6 Aug 1997

Firstpage

917

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

fingerprint identification; image restoration; real-time systems; wavelet transforms; Gaussian gradient; Type I error; Type II error; automatic real-time identification; binarization; coherence; dominant local orientation; fingerprint images; identical fingerprints; preprocessing procedures; restoration; thinning; wavelets; Coherence; Computer errors; Digital signal processing; Feature extraction; Fingerprint recognition; Image matching; Image restoration; Signal processing algorithms; Smoothing methods; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on

Conference_Location

Sacramento, CA

Print_ISBN

0-7803-3694-1

Type

conf

DOI

10.1109/MWSCAS.1997.662224

Filename

662224