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On-line signature verification
Abstract
Abstract We describe a method for on-line handwritten signature verification. The signatures are acquired using a digitizing tablet which captures both dynamic and spatial information of the writing. After preprocessing the signature, several features are extracted. The authenticity of a writer is determined by comparing an input signature to a stored reference set (template) consisting of three signatures. The similarity between an input signature and the reference set is computed using string matching and the similarity value is compared to a threshold. Several approaches for obtaining the optimal threshold value from the reference set are investigated. The best result yields a false reject rate of 2.8% and a false accept rate of 1.6%. Experiments on a database containing a total of 1232 signatures of 102 individuals show that writer-dependent thresholds yield better results than using a common threshold.
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Cited by
Frank, M., Biedert, R., Ma, E., Martinovic, I., & Song, D. (2013) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2012.2225048 · Cited by 844
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
SegSort: Segmentation by Discriminative Sorting of Segments
Hwang, J.-J., Yu, S., Shi, J., Collins, M., Yang, T.-J., Zhang, X., & Chen, L.-C. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00743 · Cited by 124
Nassar, A., Amer, K., ElHakim, R., & ElHelw, M. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2018.00201 · Cited by 94
Metadata
- Authors
- Jain, A. K., Griess, F. D., & Connell, S. D.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2002-12
- Volume
- 35
- Issue
- 12
- Pages
- 2963-2972
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W1997460147
- Cited by
- 536
- References
- 0
- FWCI
- 22.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jain, A. K., Griess, F. D., & Connell, S. D. (2002). On-line signature verification. Pattern Recognition. https://doi.org/10.1016/s0031-3203(01)00240-0
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
