An effective method of fingerprint classification combined with AFIS

Authors:
Ching-Tang Hsieh;Shys-Rong Shyu;Chia-Shing Hu
Affiliations:
Department of Electrical Engineering, Tamkang University, Tamsui, Taipei Hsien, Taiwan, Republic of China;Department of Electrical Engineering, Tamkang University, Tamsui, Taipei Hsien, Taiwan, Republic of China;Department of Electrical Engineering, Tamkang University, Tamsui, Taipei Hsien, Taiwan, Republic of China
Venue:
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Year:
2005

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Abstract

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 on the NIST special fingerprint database 4. For the 4000 images in this database, 2000 images are randomly chosen by computer and classified. The classification accuracy reaches 93.1% with no rejection for 4-class classification problem.