Silas Nascimento
Papers
1
Total Citations
2
H-Index
1
About
Silas Nascimento is a researcher focused on computer vision and document image processing, with a particular emphasis on enhancing security and reliability in digital identity verification. His most notable contribution addresses a critical challenge in camera-based document scanning: detecting occlusions caused by human fingers during the capture of identification documents. In his 2023 work, Nascimento developed a robust approach to identify when personal data—such as names, numbers, or photographs—is partially obscured, a common issue that can compromise consumer authentication processes. This research is vital for ensuring safe transactions between companies and consumers, as it helps prevent fraud and identity theft by flagging incomplete or tampered images. While his citation count is currently modest at 2, the practical relevance of his work in the growing field of remote identity verification suggests significant potential for future impact. Nascimento’s contributions are particularly valuable for students and researchers exploring real-world applications of computer vision in cybersecurity and user authentication.
Research Focus
Key Achievements
Top Papers
- 1