DocumentCode
183409
Title
Binarization of Degraded Document Images Based on Combination of Contrast Images
Author
Arruda, A.W.A. ; Mello, C.A.B.
Author_Institution
Centro de Inf., Univ. Fed. de Pernambuco, Recife, Brazil
fYear
2014
fDate
1-4 Sept. 2014
Firstpage
615
Lastpage
620
Abstract
This paper introduces a novel algorithm for binarization of gray scale images of degraded documents based on the creation of three different structural contrast images, the representation of these features in a 2D feature space that is further partitioned. A weak bi-level image and a strong bi-level image are created and combined to produce the final image. Experiments were conducted with the application of the new algorithm to DIBCO 2011 and H-DIBCO 2012 datasets achieving satisfactory results.
Keywords
document image processing; image colour analysis; image representation; 2D feature space; DIBCO 2011; H-DIBCO 2012 datasets; bilevel image; contrast images; degraded document images; gray scale images binarization; structural contrast image; Classification algorithms; Clustering algorithms; Image color analysis; Image reconstruction; Ink; Partitioning algorithms; Proposals; binarization; contrast image; degraded documents;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on
Conference_Location
Heraklion
ISSN
2167-6445
Print_ISBN
978-1-4799-4335-7
Type
conf
DOI
10.1109/ICFHR.2014.108
Filename
6981087
Link To Document