Author:
Arab Naouel,Nemmour Hassiba,Chibani Yousef
Publisher
Springer International Publishing
Reference30 articles.
1. Yapici, M.M., Tekerek, A., Topaloglu, N.: Convolutional neural network based offline signature verification application. In: 2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT), pp. 57–61. IEEE (2018)
2. Yapıcı, M.M., Tekerek, A., Topaloğlu, N.: Deep learning-based data augmentation method and signature verification system for offline handwritten signature. Pattern Anal. Appl. 24(1), 165–179 (2020). https://doi.org/10.1007/s10044-020-00912-6
3. Ruiz, V., Linares, I., Sanchez, A., Velez, J.F.: Off-line handwritten signature verification using compositional synthetic generation of signatures and Siamese Neural Networks. Neurocomputing 374, 30–41 (2020)
4. Hamadene, A., Chibani, Y.: One-class writer-independent offline signature verification using feature dissimilarity thresholding. IEEE Trans. Inf. Forensics Secur. 11, 1226–1238 (2016)
5. 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, 103–113 (2015)