The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
On-line signature recognition based on VQ-DTW
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Citations
Cites
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Vector Quantization and Signal Compression
Gersho, A., & Gray, R. M. (1992) · Springer eBooks · doi:10.1007/978-1-4615-3626-0 · Cited by 7,003
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
An introduction to hidden Markov models
Rabiner, L., & Juang, B. (1986) · IEEE ASSP Magazine · doi:10.1109/massp.1986.1165342 · Cited by 4,775
Robust text-independent speaker identification using Gaussian mixture speaker models
Reynolds, D. A., & Rose, R. C. (1995) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/89.365379 · Cited by 2,860
Discrete-Time Processing of Speech Signals
Deller, J. R., Hansen, J. H. L., & Proakis, J. G. (1999) · Institute of Electrical and Electronics Engineers eBooks · doi:10.1109/9780470544402 · Cited by 2,458
Statistical Pattern Recognition
(2001) · Computational Statistics Handbook with MATLAB · doi:10.1201/9781420035636-10 · Cited by 1,740
The DET curve in assessment of detection task performance
Martin, A., Doddington, G., Kamm, T., Ordowski, M., & Przybocki, M. (1997) · 5th European Conference on Speech Communication and Technology (Eurospeech 1997) · doi:10.21437/eurospeech.1997-504 · Cited by 1,384
Automatic signature verification and writer identification — the state of the art
Plamondon, R., & Lorette, G. (1989) · Pattern Recognition · doi:10.1016/0031-3203(89)90059-9 · Cited by 937
MCYT baseline corpus: a bimodal biometric database
Ortega-Garcia, J., Fierrez-Aguilar, J., Simon, D., Gonzalez, J., Faundez-Zanuy, M., Espinosa, V., Satue, A., Hernaez, I., Igarza, J.-J., Vivaracho, C., et al. (2003) · IEE Proceedings - Vision, Image, and Signal Processing · doi:10.1049/ip-vis:20031078 · Cited by 757
Self-citation
Cited by
Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package
Giorgino, T. (2009) · Journal of Statistical Software · doi:10.18637/jss.v031.i07 · Cited by 1,254
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
HMM-based on-line signature verification: Feature extraction and signature modeling
Fierrez, J., Ortega-Garcia, J., Ramos, D., & Gonzalez-Rodriguez, J. (2007) · Pattern Recognition Letters · doi:10.1016/j.patrec.2007.07.012 · Cited by 309
Tormene, P., Giorgino, T., Quaglini, S., & Stefanelli, M. (2009) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2008.11.007 · Cited by 287
Metadata
- Authors
- Faundez-Zanuy, M.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2007-03
- Volume
- 40
- Issue
- 3
- Pages
- 981-992
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2061828128
- Cited by
- 260
- References
- 21
- FWCI
- 14.51
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: On-line signature recognition based on VQ-DTW. https://app.cochat.ai/papers/10.1016/j.patcog.2006.06.007
- The paper
- Faundez-Zanuy, M. (2007). On-line signature recognition based on VQ-DTW. Pattern Recognition. https://doi.org/10.1016/j.patcog.2006.06.007
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.
