R. Chandrasekaran

Papers

Total Citations

H-Index

About

R. Chandrasekaran is a researcher whose work sits at the intersection of computer vision, biometric security, and neural network applications. His most-cited paper, "Security Assurance Using Face Recognition & Detection System Based On Neural Networks" (2006), proposes an innovative approach to security systems by leveraging facial information through self-scaling neural network architectures—a departure from traditional biometric or cryptographic methods. While this foundational work has accumulated 3 citations to date, it reflects an early and forward-thinking engagement with AI-driven authentication technologies. Chandrasekaran’s research contributes to the growing field of intelligent surveillance and identity verification, emphasizing practical, scalable solutions for real-world assurance systems. His work demonstrates a commitment to integrating neural networks into security frameworks, paving the way for more adaptive and efficient face recognition technologies. For students and researchers exploring the evolution of biometric security, Chandrasekaran’s contributions offer a valuable glimpse into the early integration of neural networks for automated detection and assurance.