Dr. Quoc Thong Nguyen
Quoc Thong Nguyen is Vice Director of the International Research Institute for Artificial Intelligence and Data Science (IAD), Dong A University, simutaneously, he is a Data Science researcher at Sofft Industries, France. He received his PhD at University Lille, France on Statistical modeling and applied statistics. His research focuses on regression/forecasting models, machine learning for anomaly detection, deep learning, document authentication, and statistical process control.
Until now, he has published over 23 research papers in refereed journals in these areas. In addition, he was conference co-chair at ISSAT International Conference on Data Science in Business, Finance and Industry 2019.
Title: Document authentication with microscopic printing
Identifying a forged printed document with scanned evidence can be a challenge. Microscopic printing is showing random shape which depends on the printing source as well as printing material. This paper presents a statistical analysis of the printing patterns under a microscopic scale, analyses the effect of printing direction, printing substrate (uncoated and coated paper), and printing technology (conventional offset, waterless offset, and electrophotography). The analysis shows a negligible effect of printing direction, yet, using the shape descriptor indexes, the printing materials and technologies are distinguishable under a microscopic scale. As a result, the algorithms based on Support Vectors Machine and Random Forest are developed, with shape descriptor indexes as features, for printing source identification. Both proposed algorithms, equally, achieve a high classification accuracy rate, over 92% accuracy with complex geometric-shape patterns. Thanks to the lightweight and efficiency of the Support Vectors Machine, the study shows promising applications for real-world and potential implementation in the Internet of Things devices.
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