A new physically motivated warping model for form drop-out
Publication
, Conference
Rosman, G; Tzadok, A; Tal, D
Published in: Proceedings of the International Conference on Document Analysis and Recognition ICDAR
December 1, 2007
Documents scanned by sheet-fed scanners often exhibit distortions due to the feeding and scanning mechanism. This paper presents a new model, motivated by the distortions observed in such documents. Numerical problems affecting the use of this model are addressed using an approximated model which is easier to estimate correctly. We demonstrate results showing the robustness and accuracy of this model on sheet-fed scanners output, and relate to existing techniques for registration and drop-out of structured forms.
Duke Scholars
Published In
Proceedings of the International Conference on Document Analysis and Recognition ICDAR
DOI
ISSN
1520-5363
Publication Date
December 1, 2007
Volume
2
Start / End Page
774 / 778
Citation
APA
Chicago
ICMJE
MLA
NLM
Rosman, G., Tzadok, A., & Tal, D. (2007). A new physically motivated warping model for form drop-out. In Proceedings of the International Conference on Document Analysis and Recognition ICDAR (Vol. 2, pp. 774–778). https://doi.org/10.1109/ICDAR.2007.4377020
Rosman, G., A. Tzadok, and D. Tal. “A new physically motivated warping model for form drop-out.” In Proceedings of the International Conference on Document Analysis and Recognition ICDAR, 2:774–78, 2007. https://doi.org/10.1109/ICDAR.2007.4377020.
Rosman G, Tzadok A, Tal D. A new physically motivated warping model for form drop-out. In: Proceedings of the International Conference on Document Analysis and Recognition ICDAR. 2007. p. 774–8.
Rosman, G., et al. “A new physically motivated warping model for form drop-out.” Proceedings of the International Conference on Document Analysis and Recognition ICDAR, vol. 2, 2007, pp. 774–78. Scopus, doi:10.1109/ICDAR.2007.4377020.
Rosman G, Tzadok A, Tal D. A new physically motivated warping model for form drop-out. Proceedings of the International Conference on Document Analysis and Recognition ICDAR. 2007. p. 774–778.
Published In
Proceedings of the International Conference on Document Analysis and Recognition ICDAR
DOI
ISSN
1520-5363
Publication Date
December 1, 2007
Volume
2
Start / End Page
774 / 778