Retinal Image Based System to Detect the Drug Abuse

The paper provides a mechanized system and method to detect the presence of weed in a person using retinal imaging system. The system includes an image acquisition unit to capture a retinal image of a person and a computing unit to receive the retinal image. The primary task is to extract one or more retinal attributes from the received retinal image, then generate an electronic signature. It compares the generated electronic signature with pre-existing electronic signatures associated with the set of retinal images of weed consumed persons. The proposed system design and implemented the image processing learning-based model to detect whether the person consumed the drug or suffering from an eye infection.