Document Detection in Videos Captured by Smartphones using a Saliency-Based Method

Document Detection in Videos Captured by Smartphones using a Saliency-Based Method

Smartphones are now widely used to digitize paper documents. Document detection is the first important step of the digitization process. Whereas many methods extract lines from contours as candidates for the document boundary, we present in this paper a region-based approach. A key feature of our me...

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Bibliographic Details
Published in:2019 International Conference on Document Analysis and Recognition Workshops (ICDARW) Vol. 4; pp. 19 - 24
Main Authors: On Vu Ngoc, Minh, Fabrizio, Jonathan, Geraud, Thierry
Format: Conference Proceeding
Language:English
Published: IEEE 01-09-2019
Subjects:
Dahu pseudo distance
Document detection
Image segmentation
Mathematical morphology
Object detection
Shape
Smart phones
Smartphone based acquisition
Two dimensional displays
Videos
Visual saliency
Visualization
Online Access:Get full text
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Summary:Smartphones are now widely used to digitize paper documents. Document detection is the first important step of the digitization process. Whereas many methods extract lines from contours as candidates for the document boundary, we present in this paper a region-based approach. A key feature of our method is that it relies on visual saliency, using a recent distance existing in mathematical morphology. We show that the performance of our method is competitive with state-ofthe- art methods on the ICDAR Smartdoc 2015 Competition dataset.
DOI:10.1109/ICDARW.2019.30059