Detection and Recognition Approaches for Medical Labels in Algeria

In the field of pharmacology, medical labels are often used to identify the medication's information such as the name, the price, etc. Standardized automatic recognition systems for medical labels in Algeria are lacking due to the absence of an approved model by the Minister of Health. This study proposes an AI-based system that automatically identifies medical labels. Two approaches are introduced: the Tesseract-based approach using traditional detection and segmentation techniques, and the VisionAI-based approach with an AI custom-trained model. Experimental evaluations show the VisionAI-based approach achieves an accuracy of approximately 95.79% in label detection and content extraction. This research presents a promising solution for efficient medication management in Algeria.