Paper
31 January 2020 A low computational approach for price tag recognition
Author Affiliations +
Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 1143314 (2020) https://doi.org/10.1117/12.2557618
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands
Abstract
In this work we discuss the task of search, localization and recognition of price zone within a photograph of the price tag. The task is being addressed for the case when image is acquired by small-scale digital camera and calculation device has significant resource constraints. The proposed approach is based on Niblack binarization algorithm, analysis and clasterization of connected components in conditions of known price tag geometrical model. The algorithm was tested on a private dataset and has shown high quality.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. A. Aliev, D. A. Nikolaev, I. A. Kunina, and Dmitry Bocharov "A low computational approach for price tag recognition", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 1143314 (31 January 2020); https://doi.org/10.1117/12.2557618
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Detection and tracking algorithms

Image processing

Target recognition

Back to Top