In this work, a probabilistic approach to assessing the quality of a system for determining the authenticity of documents in the images is considered. The considered system is based on the aggregation of responses of various checks of the security elements of the document. We propose a probabilistic model of the document authentication system and the functional for evaluating the quality of the system. Based on them, we offer an approach for assessing the quality of the separate part and the whole system. Finally, the approach to constructing an optimal function of making a final decision is obtained.
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.
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