Paper
4 January 2021 Color correction of the document owner’s photograph image during recognition on mobile device
D. V. Polevoy, E. I. Panfilova, E. I. Ershov, D. P. Nikolaev
Author Affiliations +
Proceedings Volume 11605, Thirteenth International Conference on Machine Vision; 1160510 (2021) https://doi.org/10.1117/12.2587627
Event: Thirteenth International Conference on Machine Vision, 2020, Rome, Italy
Abstract
The growing popularity of mobile services increases the risks of financial and other losses from fraudulent user actions. To reduce the number of illegal actions and comply with the law when using mobile services, it is often scheme that user presents it’s identity document. In case of remote access via a mobile device, this means receiving and analyzing a video of a document image. One of the criteria for the authenticity of the captured security document is the presence of security optically variable devices (kinegrams, holograms). Reliable determination of the presence or absence of such security elements from video stream frames is greatly complicated by changes in color between frames. The paper discusses the possibility of using a priori information about the monochrome photograph of the document owner to compensate changes in color between frames. Color distributions are investigated on the example of black-and-white photographs. A new method for automatic white balance correction is proposed. The results of the method are tested on real data obtained with a mobile device.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. V. Polevoy, E. I. Panfilova, E. I. Ershov, and D. P. Nikolaev "Color correction of the document owner’s photograph image during recognition on mobile device", Proc. SPIE 11605, Thirteenth International Conference on Machine Vision, 1160510 (4 January 2021); https://doi.org/10.1117/12.2587627
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