Enhanced Detection and Decoding of QR Code and Barcode using Machine Learning

Abstract

This paper proposes a novel deep learning-based approach for the detection of QR codes and barcodes in images. The rapid adoption of QR codes and barcodes across various industries necessitates robust and accurate detection methods. Traditional methods often rely on handcrafted features and heuristics, leading to limited performance in complex scenarios. In contrast, our proposed approach leverages the power of deep learning to automatically learn discriminative features for precise detection. Extensive experiments demonstrate the superiority of our method in terms of detection accuracy and efficiency compared to state-of-the-art techniques. we propose a deep learning-based framework that addresses these challenges by leveraging the capabilities of convolutional neural networks (CNNs) for feature extraction and classification. Our approach involves two main stages: (1) detection of QR codes and barcodes within images, and (2) decoding the detected codes to extract the embedded information.