Publication Date: 2024/01/18
Abstract: This project proposes an end-to-end solution for the automatic detection and extraction of medication names from handwritten medical prescriptions by doctors. It does this by combining computer vision and deep learning techniques. The system consists of two primary components: a YOLOv5-based medication identification model that locates and crops drug names from prescription photographs, and a deep learning text recognition (OCR) model that extracts textual information from the cropped medicine name areas.
Keywords: Computer Vision, Machine Learning Model Based on Yolov5 for Medicine Name Extraction and Recognition Utilizing Optical Character Recognition (OCR).
DOI: https://doi.org/10.5281/zenodo.10527101
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24JAN461.pdf
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