A Low Computational Approach for Price Tag Recognition
This addresses the need for efficient price tag recognition in resource-limited devices, but it is incremental as it builds on existing methods like Niblack binarization.
The authors tackled the problem of recognizing price tags in photographs under computational constraints, achieving high quality results on a private dataset.
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.