An Effective Method for Fingerprint Classification

10.6180/jase.2009.12.2.09

Ching-Tang Hsieh；Shys-Rong Shyu；Kuo-Ming Hung

Biometrics ； Fingerprint Classification ； Wavelets ； Poincare Index ； Singular Point Detection

淡江理工學刊

12卷2期（2009 / 06 / 01）

169 - 182

英文

In this paper, we present a fast and precise method for fingerprint classification. The proposed method directly extracts the directional information from the thinned image of the fingerprint. We use an octagon mask to search the center point of the region of interest and consider both the direction information and the singular points in the region of interest to classify the fingerprints. In the system, not only is the amount of computation reduced but also can the extracted information be used for identification on AFIS. The system has been tested all 4000 fingerprint images on the NIST special fingerprint database 4. The classification accuracy reaches 93.425% with no rejection for 4-class classification problem.