Ricardo Batista das Neves
Papers
1
Total Citations
2
H-Index
1
About
Ricardo Batista das Neves is a researcher focused on computer vision and document image analysis, with a particular emphasis on enhancing the security and reliability of identity verification systems. His most cited work, "A Robust Approach to Detect Occlusions During Camera-Based Document Scanning" (2023), addresses a critical challenge in digital identity verification: the detection of occlusions—such as human fingers—that can obscure personal data on identification documents during mobile scanning. This contribution is vital for ensuring safe consumer-to-company transactions, where accurate document authentication is paramount. Although his citation count is currently modest at 2, the practical relevance of his research to fintech, cybersecurity, and mobile application development underscores its potential for future impact. Batista das Neves’ work stands out for its focus on real-world usability, bridging the gap between algorithmic robustness and consumer safety. His achievements highlight a dedicated effort to solve pressing problems in document processing, making him a promising voice in the intersection of computer vision and identity security.
Research Focus
Key Achievements
Top Papers
- 1