Publication | Closed Access
Segments Graph-Based Approach for Document Capture in a Smartphone Video Stream
21
Citations
15
References
2017
Year
Unknown Venue
EngineeringVideo ProcessingKalman FilterDocument Boundaries DetectionImage AnalysisPattern RecognitionText RecognitionVideo Content AnalysisEdge DetectionComputational GeometryMobile MultimediaSegments Graph-based ApproachMachine VisionOptical Character RecognitionVideo ManipulationDocument CapturePossible Document PositionsSmartphone Video StreamComputer VisionVideo CommunicationDocument Processing
The paper is devoted to the analysis of the problem of document boundaries detection in images and in a video stream. The paper proposes an algorithm for obtaining the position of the document, consisting of very reliable segments of a document boundaries extraction and a construction of an intersection graph that satisfies the projective model of the rectangle. An online algorithm for selecting and integrating possible document positions in a video stream based on the Kalman filter is proposed. The analysis of possible modifications of the algorithm and their effect on the final result are provided. Evaluation of the quality of the document at ICDAR'15 Smartphone Document Capture competition's dataset [1] showed a mean result of 95.5% in Jaccard index of projectively corrected document quadrangles and a 3rd place in the competition.
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