A new approach for detection and extraction tables in scanned document image using improved hough transform
Joint Authors
Abd Allah, Hasanayn S.
Jasim, Ammar H.
Source
Engineering and Technology Journal
Issue
Vol. 34, Issue 5B (31 May. 2016), pp.738-753, 16 p.
Publisher
Publication Date
2016-05-31
Country of Publication
Iraq
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, an improvement approach of Hough transform for tables detection and extraction from scanned document images is achieved as one of the main stages in document recognition to recognize between original and faked documents.
The improvements fundamentally originate from the modulation of the standard Hough transform (SHT)parameter selection, peak threshold and voting scheme.
Peakvalues formed by noise edges are thus lowered compared with those formed by clear edges.
Experimental results show the proposed method leads to significant suppression of false peaks in Hough space and is thus effective.
The parameters can be determined empirically in advance, which their advantage to use the proposed method in fully automated lines detection applications
American Psychological Association (APA)
Abd Allah, Hasanayn S.& Jasim, Ammar H.. 2016. A new approach for detection and extraction tables in scanned document image using improved hough transform. Engineering and Technology Journal،Vol. 34, no. 5B, pp.738-753.
https://search.emarefa.net/detail/BIM-783781
Modern Language Association (MLA)
Abd Allah, Hasanayn S.& Jasim, Ammar H.. A new approach for detection and extraction tables in scanned document image using improved hough transform. Engineering and Technology Journal Vol. 34, no. 5B (2016), pp.738-753.
https://search.emarefa.net/detail/BIM-783781
American Medical Association (AMA)
Abd Allah, Hasanayn S.& Jasim, Ammar H.. A new approach for detection and extraction tables in scanned document image using improved hough transform. Engineering and Technology Journal. 2016. Vol. 34, no. 5B, pp.738-753.
https://search.emarefa.net/detail/BIM-783781
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 752-753
Record ID
BIM-783781