Improved algorithm of ID card detection by a priori knowledge of the document aspect ratio

Daniil V. Tropin; Ivan A. Konovalenko; Natalya S. Skoryukina; Dmitry P. Nikolaev; Vladimir V. Arlazarov

doi:10.1117/12.2587029

4 January 2021 Improved algorithm of ID card detection by a priori knowledge of the document aspect ratio

Daniil V. Tropin, Ivan A. Konovalenko, Natalya S. Skoryukina, Dmitry P. Nikolaev, Vladimir V. Arlazarov

Proceedings Volume 11605, Thirteenth International Conference on Machine Vision; 116051F (2021) https://doi.org/10.1117/12.2587029
Event: Thirteenth International Conference on Machine Vision, 2020, Rome, Italy

Abstract

In this work, we consider a problem of quadrilateral document borders detection in images captured by a mobile device’s camera. State-of-the-art algorithms for the quadrilateral document borders detection are not designed for cases when one of the document borders is either completely out of the frame, obscured, or of low contrast. We propose the algorithm which correctly processes the image in such cases. It is built on the classical contour-based algorithm. We modify the latter using the document’s aspect ratio which is known a priori. We demonstrate that this modification reduces the number of incorrect detections by 34% on an open dataset MIDV-500.

Citation Download Citation

Daniil V. Tropin, Ivan A. Konovalenko, Natalya S. Skoryukina, Dmitry P. Nikolaev, and Vladimir V. Arlazarov "Improved algorithm of ID card detection by a priori knowledge of the document aspect ratio", Proc. SPIE 11605, Thirteenth International Conference on Machine Vision, 116051F (4 January 2021); https://doi.org/10.1117/12.2587029

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