Anggunmeka Luhur Prasasti
Papers
1
Total Citations
2
H-Index
1
About
Anggunmeka Luhur Prasasti is a researcher specializing in biomedical imaging and computer vision, with a particular focus on non-invasive biometric and diagnostic technologies. Her most cited work, "Vein Tracking Using 880nm Near Infrared and CMOS Sensor with Maximum Curvature Points Segmentation" (2015), introduces a novel approach to vein pattern recognition by leveraging near-infrared imaging and advanced segmentation techniques. This study demonstrates how 880nm wavelength illumination combined with a standard CMOS sensor can effectively capture subcutaneous vein structures, while the maximum curvature points method enhances the accuracy of vein extraction for identification or medical applications. Although her citation count is modest, this foundational paper contributes to the growing field of contactless biometrics and vascular imaging, offering a cost-effective alternative to traditional infrared systems. Prasasti’s work sits at the intersection of hardware optimization and algorithmic refinement, addressing practical challenges in real-time vein tracking. Her research holds potential for applications in secure authentication, medical diagnostics, and patient monitoring, reflecting a commitment to developing accessible, non-invasive tools that bridge engineering and healthcare.
Research Focus
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Top Papers
- 1