The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification
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
Statistical pattern recognition: a review
Jain, A. K., Duin, P. W., & Mao, J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.824819 · Cited by 6,767
Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response
Hoover, A. D., Kouznetsova, V., & Goldbaum, M. (2000) · IEEE Transactions on Medical Imaging · doi:10.1109/42.845178 · Cited by 2,582
A human identification technique using images of the iris and wavelet transform
Boles, W. W., & Boashash, B. (1998) · IEEE Transactions on Signal Processing · doi:10.1109/78.668573 · Cited by 1,130
Direct gray-scale minutiae detection in fingerprints
Maio, D., & Maltoni, D. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.566808 · Cited by 616
Evaluation of automated biometrics-based identification and verification systems
Shen, W., Surette, M. G., & Khanna, R. (1997) · Proceedings of the IEEE · doi:10.1109/5.628719 · Cited by 68
Cited by
Convolutional Neural Network for Finger-Vein-Based Biometric Identification
Das, R., Piciucco, E., Maiorana, E., & Campisi, P. (2019) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2018.2850320 · Cited by 313
Finger Vein Recognition Using Local Line Binary Pattern
Rosdi, B. A., Shing, C. W., & Suandi, S. A. (2011) · Sensors · doi:10.3390/s111211357 · Cited by 279
Augmented reality based real-time subcutaneous vein imaging system
Ai, D., Yang, J., Fan, J., Zhao, Y., Song, X., Shen, J., Shao, L., & Wang, Y. (2016) · Biomedical Optics Express · doi:10.1364/boe.7.002565 · Cited by 62
Metadata
- Authors
- Miura, N., Nagasaka, A., & Miyatake, T.
- Venue
- Machine Vision and Applications
- Published
- 2004-10
- Volume
- 15
- Issue
- 4
- Pages
- 194-203
- ISSN
- 0932-8092 (ISSN-L)
- 1432-1769
- OpenAlex
- W2102780391
- Cited by
- 772
- References
- 5
- FWCI
- 5.20
- 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: Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification. https://app.cochat.ai/papers/10.1007/s00138-004-0149-2
- The paper
- Miura, N., Nagasaka, A., & Miyatake, T. (2004). Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification. Machine Vision and Applications. https://doi.org/10.1007/s00138-004-0149-2
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.