Rajmohan Pardesi

Papers

Total Citations

H-Index

About

Rajmohan Pardesi is a researcher specializing in biometrics and pattern recognition, with a particular focus on developing automated systems for human identification. His most-cited work, "Automatic Human Gender Identification Using Palmprint" (2019), has garnered 9 citations, demonstrating his contribution to the growing field of contactless biometric analysis. Pardesi’s research explores the use of palmprint features—such as texture and ridge patterns—to classify gender, offering a non-invasive and efficient alternative to traditional methods like fingerprint or facial recognition. This work has implications for security, forensics, and human-computer interaction, where quick and accurate gender identification can enhance system personalization or access control. Beyond this study, Pardesi’s broader interests include machine learning applications in biometrics, aiming to improve accuracy and reduce computational costs. His research stands out for its practical approach to solving real-world identification challenges, making him a notable contributor to the intersection of computer vision and security technology.