Lightweight Deep Learning Model and Novel Dataset for Restoring Damaged Barcodes and QR Codes in Logistics Applications
Tarek Muallim, Halûk Küçük, Muhammet Bareket, Metin Kahraman · Computer Modeling in Engineering & Sciences · 2025
This study introduces a lightweight deep learning model and a novel synthetic dataset designed to restore damaged one-dimensional (1D) barcodes and Quick Response (QR) codes, addressing critical challenges in logistics operat... | Find, read and cite all the research you need on Tech Science Press