Open Access
Issue |
ITM Web Conf.
Volume 40, 2021
International Conference on Automation, Computing and Communication 2021 (ICACC-2021)
|
|
---|---|---|
Article Number | 03010 | |
Number of page(s) | 7 | |
Section | Computing | |
DOI | https://doi.org/10.1051/itmconf/20214003010 | |
Published online | 09 August 2021 |
- L. Batista, E. Granger, and R. Sabourin, “Dynamic selection of generative-Discriminative ensembles for offline signature verification,” Pattern Recognition, vol. 45, no. 4, pp. 1326–1340, 2012. [Google Scholar]
- Y. Guerbai, Y. Chibani, and B. Hadjadji, “The effective use of the one-class svm classifier for handwritten signature verification based on writer-independent parameters,” Pattern Recognition, vol. 48, no. 1, pp. 103–113, 2015. [Google Scholar]
- Gulzar A. Khuwaja and Mohammad S. Laghari Offline Handwritten Signature Recognition using Biometrics April 2011 at International Scientific Academy of Technology and Engineering [Google Scholar]
- V A Bharadi Off-Line Signature Recognition Systems Proceedings of the International Conference and Workshop on Emerging Trends in Technology,ICWET 2010 [Google Scholar]
- D. Bertolini, L. S. Oliveira, E. Justino, and R. Sabourin, “Reducing forgeries in writer-independent off-line signature verification through ensemble of classifiers,” Pattern Recognition, vol. 43, no. 1, pp. 387–396,2010. [Google Scholar]
- A.Bhanu Srothara, M. Hanmandlu, Offline Signature Verification using CNN,International Journal on Future Revolution in Computer Science amp; Communication Engineering Volume: 4 Issue: 9,September 2018. [Google Scholar]
- Sameera Khan, Avinash Dhole, A Review on Offline Signature Recognition and Verification Techniques Vol. 3, Issue 6, June 2014 [Google Scholar]
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