Paper Contents
Abstract
This project focuses on the detection and decoding of QR codes using MATLAB, a high-level programming environment well-suited for image processing tasks. The objective is to develop an efficient algorithm capable of accurately identifying QR codes in digital images, extracting their encoded data, and decoding it to retrieve the original information. The approach leverages MATLABs built-in image processing toolbox to preprocess images, detect QR code patterns through edge detection and morphological operations, and apply geometric transformations for alignment. The system then decodes the QR code using error correction techniques to ensure data integrity even in noisy or partially damaged images. The implemented method demonstrates robustness and reliability across various sample images, highlighting MATLABs potential for developing practical computer vision applications related to QR code recognition.
Copyright
Copyright © 2025 Ghatadi Suraji Deekshitha. This is an open access article distributed under the Creative Commons Attribution License.
