TY - GEN
T1 - A hierarchical algorithm for multi-feature based fingerprint identification
AU - Chen, Fanglin
AU - Zhou, Jie
PY - 2010
Y1 - 2010
N2 - There are different features, such as minutiae, orientation-based minutia descriptor, FingerCode, ridge feature map, orientation map, and density map, to represent fingerprints. Previous studies showed that the performance can be improved by combining these features through a fusion strategy. However, the more features are used, the more time is consumed. In fingerprint verification application, it is tolerated for the system is one-to-one matching. But in automatic fingerprint identification systems (AFIS) which is one-to-N matching (N is the number of fingerprint in the database and it is usually very large), it is not acceptable. In this paper, a fast algorithm for multi-feature based fingerprint identification is proposed. A hierarchical strategy is utilized to quickly discard most false matchings in different stages. Experimental results show that the proposed algorithm can reduce the searching time a lot while preserves the searching ratio.
AB - There are different features, such as minutiae, orientation-based minutia descriptor, FingerCode, ridge feature map, orientation map, and density map, to represent fingerprints. Previous studies showed that the performance can be improved by combining these features through a fusion strategy. However, the more features are used, the more time is consumed. In fingerprint verification application, it is tolerated for the system is one-to-one matching. But in automatic fingerprint identification systems (AFIS) which is one-to-N matching (N is the number of fingerprint in the database and it is usually very large), it is not acceptable. In this paper, a fast algorithm for multi-feature based fingerprint identification is proposed. A hierarchical strategy is utilized to quickly discard most false matchings in different stages. Experimental results show that the proposed algorithm can reduce the searching time a lot while preserves the searching ratio.
KW - AFIS
KW - Fingerprint verification
KW - Hierarchical structure
KW - Multiple features
UR - https://www.scopus.com/pages/publications/78651076740
U2 - 10.1109/ICIP.2010.5654281
DO - 10.1109/ICIP.2010.5654281
M3 - 会议稿件
AN - SCOPUS:78651076740
SN - 9781424479948
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 3093
EP - 3096
BT - 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
T2 - 2010 17th IEEE International Conference on Image Processing, ICIP 2010
Y2 - 26 September 2010 through 29 September 2010
ER -