DocumentCode
2190011
Title
Automatic real-time identification of fingerprint images using wavelet transform and gradient of Gaussian
Author
Lee, Woo Kyu ; Chung, Jae Ho
Author_Institution
Dept. of Electron. Eng., Inha Univ., Inchon, South Korea
fYear
1996
fDate
18-21 Nov 1996
Firstpage
508
Lastpage
511
Abstract
In this paper, a fingerprint recognition algorithm is suggested. The algorithm is developed based on the wavelet transform, the dominant local orientation (DLO) and coherence that derived from the gradient of Gaussian. Computer simulation results show that while 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-is 2.5%
Keywords
Gaussian distribution; fingerprint identification; wavelet transforms; automatic real-time identification; coherence; computer simulation; dominant local orientation; fingerprint image; fingerprint recognition algorithm; gradient of Gaussian; type I error; type II error; wavelet transform; Continuous wavelet transforms; Fingerprint recognition; Image coding; Image matching; Image restoration; Real time systems; Signal processing algorithms; Smoothing methods; Wavelet transforms; Workstations;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1996., IEEE Asia Pacific Conference on
Conference_Location
Seoul
Print_ISBN
0-7803-3702-6
Type
conf
DOI
10.1109/APCAS.1996.569325
Filename
569325
Link To Document