Fast and Accurate Fingerprint Indexing Based on Ridge Orientation and Frequency
- 23 June 2011
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
- Vol. 41 (6), 1511-1521
- https://doi.org/10.1109/tsmcb.2011.2155648
Abstract
This paper describes a new fingerprint indexing approach based on vector and scalar features, obtained from ridge-line orientations and frequencies. A carefully designed set of features and ad-hoc score measures allow the proposed indexing algorithm to be extremely effective and efficient, as confirmed by the results of extensive experiments. The new method markedly outperforms competing state-of-the-art techniques over six publicly available data sets. Furthermore, it can scale to large databases without losing accuracy: on a standard PC, a search over one million fingerprints takes less than 1 s.Keywords
This publication has 28 references indexed in Scilit:
- Efficient fingerprint search based on database clusteringPattern Recognition, 2007
- The Theoretical Framework of Cognitive InformaticsInternational Journal of Cognitive Informatics and Natural Intelligence, 2007
- Fingerprint Classification Based on Learned FeaturesIEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2005
- A Multi-Classifier Approach to Fingerprint ClassificationPattern Analysis and Applications, 2002
- Fingerprint classification by directional image partitioningIEEE Transactions on Pattern Analysis and Machine Intelligence, 1999
- Fingerprint image enhancement: algorithm and performance evaluationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1998
- Continuous versus exclusive classification for fingerprint retrievalPattern Recognition Letters, 1997
- Direct gray-scale minutiae detection in fingerprintsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
- Fingerprint classificationPattern Recognition, 1996
- Adaptive flow orientation-based feature extraction in fingerprint imagesPattern Recognition, 1995