The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
On-line fingerprint verification
Abstract
Fingerprint verification is one of the most reliable personal identification methods. However, manual fingerprint verification is incapable of meeting today's increasing performance requirements. An automatic fingerprint identification system (AFIS) is needed. This paper describes the design and implementation of an online fingerprint verification system which operates in two stages: minutia extraction and minutia matching. An improved version of the minutia extraction algorithm proposed by Ratha et al. (1995), which is much faster and more reliable, is implemented for extracting features from an input fingerprint image captured with an online inkless scanner. For minutia matching, an alignment-based elastic matching algorithm has been developed. This algorithm is capable of finding the correspondences between minutiae in the input image and the stored template without resorting to exhaustive search and has the ability of adaptively compensating for the nonlinear deformations and inexact pose transformations between fingerprints. The system has been tested on two sets of fingerprint images captured with inkless scanners. The verification accuracy is found to be acceptable. Typically, a complete fingerprint verification procedure takes, on an average, about eight seconds on a SPARC 20 workstation. These experimental results show that our system meets the response time requirements of online verification with high accuracy.
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Cites
Rayward-Smith, V. J. (1991) · Journal of the Operational Research Society · doi:10.1057/jors.1991.155 · Cited by 16,821
A graduated assignment algorithm for graph matching
Gold, S., & Rangarajan, A. (1996) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.491619 · Cited by 1,090
Advances in Fingerprint Technology
Datta, A. K. (2001) · CRC Press eBooks · doi:10.1201/9781420041347 · Cited by 849
Karu, K., & Jain, A. K. (1996) · Pattern Recognition · doi:10.1016/0031-3203(95)00106-9 · Cited by 479
Self-citationA Taxonomy for Texture Description and Identification
Rao, A. R. (1990) · Springer series in perception engineering · doi:10.1007/978-1-4613-9777-9 · Cited by 398
Vital signs of identity [biometrics]
Miller, B. (1994) · IEEE Spectrum · doi:10.1109/6.259484 · Cited by 317
Matching Images to Models for Registration and Object Detection via Clustering
Stockman, G. C., Kopstein, S., & Benett, S. (1982) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1982.4767240 · Cited by 305
Point pattern matching by relaxation
Ranade, S., & Rosenfeld, A. (1980) · Pattern Recognition · doi:10.1016/0031-3203(80)90067-9 · Cited by 265
Registering Landsat images by point matching
Ton, J., & Jain, A. K. (1989) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.1989.35948 · Cited by 185
Self-citationFingerprint 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
Fingerprint minutiae matching based on the local and global structures
Jiang, X., & Yau, W.-Y. (2002) · Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 · doi:10.1109/icpr.2000.906252 · Cited by 478
Biometric template selection and update: a case study in fingerprints
Uludag, U., Ross, A., & Jain, A. (2004) · Pattern Recognition · doi:10.1016/j.patcog.2003.11.012 · Cited by 174
Self-citationAttAuth: An implicit authentication framework for smartphone users using multimodality data
Zhao, C., Gao, F., & Shen, Z. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3314717 · Cited by 10
Metadata
- Authors
- Jain, A., Hong, L., & Bolle, R.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1997-04
- Volume
- 19
- Issue
- 4
- Pages
- 302-314
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2014470493
- Cited by
- 1,316
- References
- 13
- FWCI
- 12.55
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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