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
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;
Conference_Titel :
Circuits and Systems, 1996., IEEE Asia Pacific Conference on
Conference_Location :
Seoul
Print_ISBN :
0-7803-3702-6
DOI :
10.1109/APCAS.1996.569325
