Precise localization of synchronization patterns for Aztec code matrix extraction

A. D. Bursikov; P. V. Bezmaternykh; V. M. Kliatskine

doi:10.1117/12.2587060

4 January 2021 Precise localization of synchronization patterns for Aztec code matrix extraction

A. D. Bursikov, P. V. Bezmaternykh, V. M. Kliatskine

Proceedings Volume 11605, Thirteenth International Conference on Machine Vision; 116051N (2021) https://doi.org/10.1117/12.2587060
Event: Thirteenth International Conference on Machine Vision, 2020, Rome, Italy

Abstract

Two-dimensional barcode reading is still a challenging problem in the computer vision domain. To simplify this reading process specially designed synchronization patterns are introduced into the barcode structure. Their precise localization allows to use block-based matrix extraction strategy, which is essential for processing images captured in an uncontrolled environment. This paper describes an algorithm for precise localization of such synchronization patterns for the Aztec Code symbology. The proposed algorithm is based on uniform linear motion model usage supported by Kalman filtering to increase its estimation accuracy. Experimental results showed that the replacement of basic ISO-based algorithm with the proposed algorithm increased reading quality from 39% to 98% on the dataset which consists of 1628 real-life document images captured with mobile device cameras in uncontrolled conditions.

Citation Download Citation

A. D. Bursikov, P. V. Bezmaternykh, and V. M. Kliatskine "Precise localization of synchronization patterns for Aztec code matrix extraction", Proc. SPIE 11605, Thirteenth International Conference on Machine Vision, 116051N (4 January 2021); https://doi.org/10.1117/12.2587060

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