Document localization algorithms based on feature points and straight lines

Natalya Skoryukina; Julia Shemiakina; Vladimir L. Arlazarov; Igor Faradjev

doi:10.1117/12.2311478

13 April 2018 Document localization algorithms based on feature points and straight lines

Natalya Skoryukina, Julia Shemiakina, Vladimir L. Arlazarov, Igor Faradjev

Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 106961H (2018) https://doi.org/10.1117/12.2311478
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria

Abstract

The important part of the system of a planar rectangular object analysis is the localization: the estimation of projective transform from template image of an object to its photograph. The system also includes such subsystems as the selection and recognition of text fields, the usage of contexts etc. In this paper three localization algorithms are described. All algorithms use feature points and two of them also analyze near-horizontal and near- vertical lines on the photograph. The algorithms and their combinations are tested on a dataset of real document photographs. Also the method of localization quality estimation is proposed that allows configuring the localization subsystem independently of the other subsystems quality.

Citation Download Citation

Natalya Skoryukina, Julia Shemiakina, Vladimir L. Arlazarov, and Igor Faradjev "Document localization algorithms based on feature points and straight lines", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106961H (13 April 2018); https://doi.org/10.1117/12.2311478

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