Exploration of Low SWaP(Size,Weight and Power) Diffuse Optical Tomography and Imaging Technique for Biometrics

Title from PDF of title page, viewed September 19, 2023Thesis advisor: Rahman MostafizurVitaIncludes bibliographical references (pages 51-55)Thesis (M.S.)--Department of Computer Science and Electrical Engineering. University of Missouri--Kansas City, 2023There have been significant advancements in biometric systems, with a particular focus on Iris, facial, and fingerprint recognition. My research, however, is centered around wrist vein recognition and involves the development of two biometric modalities: wrist vein imaging and Diffuse Optical Tomography (DoT) data. The primary objective is to create a hardware system with low size, weight, and power consumption. The proposed setup utilizes IR Light as the light source. The IR light penetrates and scatters through the layers of tissue, and when it encounters the Blood volume, deoxygenated blood absorbs the IR light, causing the vein to appear darker. Meanwhile, the DoT data captures the biological characteristics using a photodiode on the wrist when exposed to IR light. These two methods serve as low-cost biometric alternatives. The ultimate goal is to develop a wearable hardware system capable of real-time data capturing with high accuracy. Additionally, it should be robust to environmental changes and operate on ultra-low power consumption.Hardware design -- Test methodology -- Results and discussion -- Conclusion and future wor