The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Automatic Signature Verification: The State of the Art
Abstract
In recent years, along with the extraordinary diffusion of the Internet and a growing need for personal verification in many daily applications, automatic signature verification is being considered with renewed interest. This paper presents the state of the art in automatic signature verification. It addresses the most valuable results obtained so far and highlights the most profitable directions of research to date. It includes a comprehensive bibliography of more than 300 selected references as an aid for researchers working in the field.
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Citations
Cites
An introduction to hidden Markov models
Rabiner, L., & Juang, B. (1986) · IEEE ASSP Magazine · doi:10.1109/massp.1986.1165342 · Cited by 4,775
Signature Verification Using A "Siamese" Time Delay Neural Network
BROMLEY, J., BENTZ, J. W., BOTTOU, L., GUYON, I., LECUN, Y., MOORE, C., SÄCKINGER, E., & SHAH, R. (1993) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001493000339 · Cited by 2,077
Cited by
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
Metadata
- Authors
- Impedovo, D., & Pirlo, G.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
- Published
- 2008-09
- Volume
- 38
- Issue
- 5
- Pages
- 609-635
- ISSN
- 1094-6977 (ISSN-L)
- OpenAlex
- W2131991463
- Cited by
- 679
- References
- 2
- FWCI
- 52.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- Impedovo, D., & Pirlo, G. (2008). Automatic Signature Verification: The State of the Art. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). https://doi.org/10.1109/tsmcc.2008.923866
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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.