Fingerprint singular point detection algorithm by Poincaré index

Authors:
Jin Bo;Tang Hua Ping;Xu Ming Lan
Affiliations:
The College of Electrical and Information Engineering, Zhejiang Textile And Fashion College, Ningbo City, Zhejiang Province, China;The College of Electrical and Information Engineering, Zhejiang Textile And Fashion College, Ningbo City, Zhejiang Province, China;The College of Electrical and Information Engineering, Zhejiang Textile And Fashion College, Ningbo City, Zhejiang Province, China
Venue:
WSEAS TRANSACTIONS on SYSTEMS
Year:
2008

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Abstract

Fingerprint indexing is an efficient technique that greatly improves the performance of Automated Fingerprint Identification Systems. We propose a continuous fingerprint indexing method based on location, direction estimation and correlation of fingerprint singular points. There have been many approaches introduced in the design of feature extraction. Based on orientation field, Firstly, we divide it into blocks to compute the Poincaré Index. Then, the blocks which may have singularities are detected in the block images. Experiment show the present algorithm is robust than the traditional method on poor quality images.