The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Direct gray-scale minutiae detection in fingerprints
Abstract
Most automatic systems for fingerprint comparison are based on minutiae matching. Minutiae are essentially terminations and bifurcations of the ridge lines that constitute a fingerprint pattern. Automatic minutiae detection is an extremely critical process, especially in low-quality fingerprints where noise and contrast deficiency can originate pixel configurations similar to minutiae or hide real minutiae. Several approaches have been proposed in the literature; although rather different from each other, all these methods transform fingerprint images into binary images. In this work we propose an original technique, based on ridge line following, where the minutiae are extracted directly from gray scale images. The results achieved are compared with those obtained through some methods based on image binarization. In spite of a greater conceptual complexity, the method proposed performs better both in terms of efficiency and robustness.
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
Classification and uses of finger prints
Henry, E. R. (1928) · Cited by 414
Direct gray-scale extraction of features for character recognition
Wang, L., & Pavlidis, T. E. (1993) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.254062 · Cited by 187
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
A Tree System Approach for Fingerprint Pattern Recognition
Moayer, B., & Fu, K. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767798 · Cited by 81
Fingerprint recognition using neural network
Leung, W. F., Leung, S. H., Lau, W. H., & Luk, A. L. (2002) · Machine learning for signal processing ... · doi:10.1109/nnsp.1991.239519 · Cited by 51
Fingerprint image processing using neural networks
Leung, M.-T., Engeler, W. E., & Frank, P. (2002) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon.1990.152677 · Cited by 32
Cited by
Miura, N., Nagasaka, A., & Miyatake, T. (2004) · Machine Vision and Applications · doi:10.1007/s00138-004-0149-2 · Cited by 772
An overview of steganography techniques applied to the protection of biometric data
Douglas, M., Bailey, K., Leeney, M., & Curran, K. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-017-5308-3 · Cited by 122
Metadata
- Authors
- Maio, D., & Maltoni, D.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1997
- Volume
- 19
- Issue
- 1
- Pages
- 27-40
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2154576060
- Cited by
- 616
- References
- 6
- FWCI
- 4.39
- Type
- journal article
- Language
- en
- Open access
- closed
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: Direct gray-scale minutiae detection in fingerprints. https://app.cochat.ai/papers/10.1109/34.566808
- The paper
- Maio, D., & Maltoni, D. (1997). Direct gray-scale minutiae detection in fingerprints. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.566808
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.
