The use of deep learning (DL) for barcode recognition and analysis has achieved
remarkable success and has attracted great attention in various domains. Unlike other …

Unsupervised video semantic compression (UVSC), ie, compressing videos to better
support various analysis tasks, has recently garnered attention. However, the semantic …

Recent advancement in Deep Learning-based Convolutional Neural Networks (D-CNNs)
has led research to improve the efficiency and performance of barcode recognition in Supply …

For existing situations of missed detections, false detections, and repeated detections in
barcode detection algorithms in real-world scenarios, a barcode detection algorithm based …

This paper presents a novel approach for accurate barcodes detection in real and
challenging environments using compact deep neural networks. Our approach is based on …

Barcode positioning technology is one of the important components of barcode technology.
However, most of the current algorithms are only applicable to a single type of barcode …

Quick Response (QR) Code is extensively used due to its advantages in fast readability as
well as large capacity. However, when using QR codes, users may suffer from loss of private …

The mid-day meal scheme was launched by the National Programme of Nutritional support
for children pursuing Primary Education. This scheme aims to provide natural and nutritious …

With the popularity of two-dimensional (2D) bar-codes, many image correction algorithms for
two-dimensional barcodes have been proposed. However, limited by the form of matrix …

Regarding the location of multi-type barcodes in high-resolution images, it is difficult for the
existing barcode positioning algorithms to meet the actual needs of efficiency. In this work, a …