Mallikarjun Hangarge

Papers

Total Citations

H-Index

About

Mallikarjun Hangarge is a prominent researcher in the fields of biometrics, image processing, 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, showcasing his contribution to leveraging palmprint features for gender classification—a non-invasive and reliable biometric modality. Hangarge’s research advances the use of palmprint analysis in security and forensic applications, addressing challenges in feature extraction and classification accuracy. Beyond this, his broader portfolio includes studies on document image analysis and texture-based recognition, reflecting a commitment to practical, real-world solutions. His work has influenced subsequent research in biometric authentication, particularly in gender and identity recognition systems. Hangarge’s achievements are marked by his ability to bridge computational techniques with biometric applications, making him a notable figure in the intersection of computer vision and human identification.