Bio-Optics: Blood Type Determination based on Image Processing Techniques by utilizing an Optical Sensor Device

Vijay A. Kanade

Abstract: The proposed idea is a non-invasive method for identifying the blood group of a patient without puncturing/breaking the skin. The paper presents a method to automatically determine human blood type by applying image processing algorithms to the optically captured images of superficial capillaries underlying the skin surface. The technique embeds Multiwavelength Light (MWL) scattering method as light passes/cuts through the capillaries for dynamically classifying blood cells based on specific antigens on the Red Blood Cell (RBC) surface. The portable optical device (camera) along with the photo-detectors form the basic detector structure Used to detect the scattered light distribution/pattern produced by the blood cells to determine the blood type without drawing the blood samples from the body.

Keywords: Blood types, Optical Sensors, Camera, Photo-detectors, Multiwavelength Light, Light scattering, Image Processing, Pattern matching, Filters