A fast high precision skew angle estimation of digitized documents
Joint Authors
Gaceb, Djamel
Chettat, Merouane
Belhadi, Sumayyah
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 5 (30 Sep. 2020), pp.825-831, 7 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-09-30
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, we treated the problem of automatic skew angle estimation of scanned documents.
The skew of document occurs very often, due to incorrect positioning of the documents or a manipulation error during scanning.
This has negative consequences on the steps of automatic analysis and recognition of text.
It is therefore essential to verify, before proceeding to these steps, the presence of skew on the document to be processed and to correct it.
The difficulty of this verification is associated to the presence of graphic zones, sometimes dominant, that have a considerable impact on the accuracy of the text skew angle estimation.
We also noted the importance of preprocessing to improve the accuracy and the calculation cost of skew estimation approaches.
These two elements have been taken into consideration in our design and development of a new approach of skew angle estimation and correction.
Our approach is based on local binarization followed by horizontal smoothing by the Run Length Smoothing Algorithm (RLSA) method, detection of horizontal contours and the Hierarchical Hough Transform (HHT).
The algorithms involved in our approach have been chosen to guarantee a skew estimation: accurate, fast and robust, especially to graphic dominance and real time application.
The experimental tests show the effectiveness of our approach on a representative database of the Document Image Skew Estimation Contest (DISEC) contest International Conference on Document Analysis and Recognition (ICDAR).
American Psychological Association (APA)
Chettat, Merouane& Gaceb, Djamel& Belhadi, Sumayyah. 2020. A fast high precision skew angle estimation of digitized documents. The International Arab Journal of Information Technology،Vol. 17, no. 5, pp.825-831.
https://search.emarefa.net/detail/BIM-1439797
Modern Language Association (MLA)
Chettat, Merouane…[et al.]. A fast high precision skew angle estimation of digitized documents. The International Arab Journal of Information Technology Vol. 17, no. 5 (Sep. 2020), pp.825-831.
https://search.emarefa.net/detail/BIM-1439797
American Medical Association (AMA)
Chettat, Merouane& Gaceb, Djamel& Belhadi, Sumayyah. A fast high precision skew angle estimation of digitized documents. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 5, pp.825-831.
https://search.emarefa.net/detail/BIM-1439797
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p.830-831
Record ID
BIM-1439797