The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A fingerprint verification system based on triangular matching and dynamic time warping
Abstract
An effective fingerprint verification system is presented. It assumes that an existing reference fingerprint image must validate the identity of a person by means of a test fingerprint image acquired online and in real-time using minutiae matching. The matching system consists of two main blocks: The first allows for the extraction of essential information from the reference image off-line, the second performs the matching itself online. The information is obtained from the reference image by filtering and careful minutiae extraction procedures. The fingerprint identification is based on triangular matching to cope with the strong deformation of fingerprint images due to static friction or finger rolling. The matching is finally validated by dynamic time warping. Results reported on the NIST Special Database 4 reference set, featuring 85 percent correct verification (15 percent false negative) and 0.05 percent false positive, demonstrate the effectiveness of the verification technique.
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Cites
Fundamentals of speech recognition
Rabiner, L. R., & Juang, B.-H. F. (1993) · Cited by 7,680
On-line fingerprint verification
Jain, A., Hong, L., & Bolle, R. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.587996 · Cited by 1,316
Integrating faces and fingerprints for personal identification
Hong, L., & Jain, A. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.735803 · Cited by 581
Germain, R. S. (2006) · Springer eBooks · doi:10.1007/0-306-47044-6_15 · Cited by 150
Fingerprint recognition in low quality images
Coetzee, L., & Botha, E. C. (1993) · Pattern Recognition · doi:10.1016/0031-3203(93)90151-l · Cited by 143
Cited by
A review of biometric technology along with trends and prospects
Unar, J. A., Seng, W. C., & Abbasi, A. (2014) · Pattern Recognition · doi:10.1016/j.patcog.2014.01.016 · Cited by 404
Ross, A., Jain, A., & Reisman, J. (2003) · Pattern Recognition · doi:10.1016/s0031-3203(02)00349-7 · Cited by 344
Iterative Deepening Dynamic Time Warping for Time Series
Chu, S., Keogh, E., Hart, D., & Pazzani, M. (2002) · Proceedings of the 2002 SIAM International Conference on Data Mining · doi:10.1137/1.9781611972726.12 · Cited by 268
Detection and Rectification of Distorted Fingerprints
Si, X., Feng, J., Zhou, J., & Luo, Y. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2345403 · Cited by 79
Efficient Rectification of Distorted Fingerprints
Gu, S., Feng, J., Lu, J., & Zhou, J. (2018) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2017.2745685 · Cited by 26
Metadata
- Authors
- Kovacs-Vajna, Z. M.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2000
- Volume
- 22
- Issue
- 11
- Pages
- 1266-1276
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2108752797
- Cited by
- 323
- References
- 5
- FWCI
- 13.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kovacs-Vajna, Z. M. (2000). A fingerprint verification system based on triangular matching and dynamic time warping. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.888711
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