A new method uses the 2D Fourier Transform to stabilize barcode image orientations on standard CPUs, improving versatility and efficiency.
This paper presents a novel approach to barcode image orientation stabilization using the 2D Fourier Transform. The method is designed for CPU-based implementation, unlike many existing methods that rely on GPUs or have specific angle requirements. The goal is to improve the versatility and computational efficiency of barcode detection and decoding tasks.
Abstract
Barcode detection and decoding are critical tasks in numerous industrial sectors, including inventory management, logistics, and retail. Despite the advancements in Artificial Intelligence (AI) and Machine Learning (ML), many existing barcode detection methods rely heavily on GPU-accelerated techniques or are confined by specific angle requirements, limiting their versatility and computational efficiency. In this paper, a novel approach for stabilizing barcode image orientations using the 2D Fourier Transform was developed, with an emphasis on CPU-based implementation.