The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Fingerprint image quality
Open accessAbstract
In this report, we propose a new definition of quality of fingerprint impressions and present detailed algorithms to measure image quality for fingerprints.We define fingerprint image quality as a predictor of matcher performance before a matcher algorithm is applied.This means presenting the matcher with good quality fingerprint images will result in high matcher performance, and vice versa, the matcher will perform poorly for poor quality fingerprints.We also have carried out an objective evaluation of the quality assessment of fingerprint images.Our quality measure is implemented in the C programming language and has been tested on 20 different live scan and paper fingerprints datasets collected in different operational settings.Our implementation is publicly, but export controlled, available as part of NIST's fingerprint software distribution.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
On the limited memory BFGS method for large scale optimization
Liu, D. C., & Nocedal, J. (1989) · Mathematical Programming · doi:10.1007/bf01589116 · Cited by 8,560
Brown, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Biometrics · doi:10.2307/2532174 · Cited by 8,176
Koyak, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Journal of the American Statistical Association · doi:10.2307/2290538 · Cited by 7,596
Handbook of Fingerprint Recognition
(2003) · Springer Professional Computing · doi:10.1007/b97303 · Cited by 2,820
Friedman, J. H., & Stuetzle, W. (1981) · Journal of the American Statistical Association · doi:10.1080/01621459.1981.10477729 · Cited by 2,216
Fingerprint image enhancement: algorithm and performance evaluation
Hong, L., Wan, Y., & Jain, A. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.709565 · Cited by 2,097
Automatic Fingerprint Recognition Systems
Ratha, N., & Bolle, R. M. (2004) · Springer eBooks · doi:10.1007/b97425 · Cited by 246
Objective image quality measure derived from digital image power spectra
Nill, N. B. (1992) · Optical Engineering · doi:10.1117/12.56114 · Cited by 175
User's guide to NIST fingerprint image software (NFIS)
Garris, M. D., Watson, C. I., McCabe, R. M., et al. (2001) · doi:10.6028/nist.ir.6813 · Cited by 91
Self-citationWein, L. M., & Baveja, M. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407496102 · Cited by 78
Cited by
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
Metadata
- Authors
- Tabassi, E., Wilson, C. L., & Watson, C. I.
- Published
- 2004
- OpenAlex
- W1565631400
- Cited by
- 283
- References
- 12
- Type
- report
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Fingerprint image quality. https://app.cochat.ai/papers/10.6028/nist.ir.7151
- The paper
- Tabassi, E., Wilson, C. L., & Watson, C. I. (2004). Fingerprint image quality. https://doi.org/10.6028/nist.ir.7151
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
