Interval Versus Histogram of Symbolic Representation Based One-Class Classifier for Offline Handwritten Signature Verification
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-96311-8_3
Reference10 articles.
1. Bertolini, D., Oliveira, L.S., Justino, E., Sabourin, R.: Reducing forgeries in writer-independent off-line signature verification through ensemble of classifiers. Pattern Recogn. 43, 387–396 (2010). https://doi.org/10.1016/j.patcog.2009.05.009
2. Guerbai, Y., Chibani, Y., Hadjadji, B.: The effective use of the one-class SVM classifier for handwritten signature verification based on writer-independent parameters. Pattern Recogn. 48(1), 103–113 (2015)
3. Billard, L., Diday, E.: Symbolic data analysis: definitions and examples. Technical report (2003). http://www.stat.uga.edu/faculty/LYNNE/Lynne.html
4. Alaei, A., Pal, S., Pal, U., Blumenstein, M.: An efficient signature verification method based on an interval symbolic representation and a fuzzy similarity measure. IEEE Trans. Inf. Forensics Secur. 12(10), 2360–2372 (2017). https://doi.org/10.1109/TIFS.2017.2707332
5. Hadjadji, B., Chibani, Y., Nemmour, H.: An efficient open system for offline handwritten signature identification based on curvelet transform and one-class principal component analysis. Neurocomputing 265, 66–77 (2017). https://doi.org/10.1016/j.neucom.2017.01.108
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