Handwriting features based detection of fake signatures
Author:
Affiliation:
1. Arcada University of Applied Sciences, Finland
2. Arcada UAS, Finland
3. Hanken School of Economics, Finland
4. University of Houston, United States
5. The University of Iowa, Iowa, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3453892.3454003
Reference16 articles.
1. High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications
2. Scikit-ELM: An Extreme Learning Machine Toolbox for Dynamic and Scalable Learning
3. Website Classification from Webpage Renders
4. A Behavioral Handwriting Model for Static and Dynamic Signature Synthesis
5. Learning features for offline handwritten signature verification using deep convolutional neural networks
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