A SURVEY ON DOCUMENT IMAGE SKEW DETECTION

Mihai Zaharescu (), Costin-Anton Boiangiu () and Ion Bucur ()
Additional contact information
Mihai Zaharescu: "Politehnica" University of Bucharest
Costin-Anton Boiangiu: "Politehnica" University of Bucharest
Ion Bucur: "Politehnica" University of Bucharest

Journal of Information Systems & Operations Management, 2015, vol. 9, issue 2, 367-383

Abstract: This paper addresses the research area of Document Image Skew Detection and Correction. The problem is of critical importance in the automated content conversion systems domain, making libraries digitalization projects possible. The paper at hand consists in a comparison between the main types of skew detection algorithms and presents the reader with a study on their advantages and disadvantages, as well as proposed improvements.

Date: 2015
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.rebe.rau.ro/RePEc/rau/jisomg/WI15/JISOM-WI15-A10.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:10:y:2015:i:2:p:367-383

Access Statistics for this article

More articles in Journal of Information Systems & Operations Management from Romanian-American University Contact information at EDIRC.
Bibliographic data for series maintained by Alex Tabusca ().