Neil Dhruva

Papers

Total Citations

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About

Neil Dhruva’s research centers on the intersection of computer vision, human-computer interaction, and security systems. He is best known for his pioneering work in hand gesture recognition, where he developed a novel algorithm that integrates advanced image processing techniques for real-time gesture interpretation. His most-cited paper, "Novel Algorithm for Image Processing Based Hand Gesture Recognition and Its Application in Security" (2013), has garnered 15 citations and introduced a framework that uses dynamic gesture patterns as a biometric authentication method, offering a contactless and intuitive alternative to traditional security measures. This work laid the groundwork for applications in smart access control, surveillance, and interactive systems. Dhruva’s contributions are particularly notable for their practical emphasis on low-latency performance and robustness under varying lighting conditions, addressing key challenges in real-world deployment. His research has influenced subsequent studies in gesture-based interfaces and has been referenced in work on assistive technologies and automated security protocols. Through his focused approach, Dhruva has helped bridge the gap between algorithmic innovation and tangible security solutions, making his work a valuable reference for researchers exploring non-verbal human-machine communication.