<ul><li>Object recognition and detection are well-studied problems with a developed set of almost standard solutions.</li><li>This paper proposes a new architecture based on an artificial convolutional neural network and semantic segmentation for the recognition and detection of identity documents.</li><li>The research aims to evaluate the deep learning detection model trained on a mobile identity document video dataset, achieving an accuracy above 0.75 for the intersection over union (IoU) threshold value of 0.8.</li><li>The study also verifies the feasibility of running the model on industrial one-board microcomputer or smartphone hardware.</li></ul>

Identity documents recognition and detection using semantic segmentation with convolutional neural network

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