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
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;
Conference_Titel :
Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on
Conference_Location :
Heraklion
Print_ISBN :
978-1-4799-4335-7
DOI :
10.1109/ICFHR.2014.108
