DocumentCode
3489371
Title
Detecting Main Body Size in Document Images
Author
Diamantatos, Paraskevas ; Verras, Vasileios ; Kavallieratou, Ergina
Author_Institution
Dept. Inf. & Commun. Syst. Eng., Univ. of the Aegean, Samos, Greece
fYear
2013
fDate
25-28 Aug. 2013
Firstpage
1160
Lastpage
1164
Abstract
In this paper, two techniques are presented, appropriate to detect the text main body size in a document image. One measures it directly, while the other estimates the baselines first. Both are segmentation free. Experimental results are presented over a collection of handwritten text, as well as for a small collection of 10 printed document images, in order to give more objective results.
Keywords
document image processing; image segmentation; document image segmentation; handwritten text; printed document images; text main body size; Estimation; Handwriting recognition; Hidden Markov models; Histograms; Image segmentation; Text analysis; baseline detection; document image processing; historical document images; word main body estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
Conference_Location
Washington, DC
ISSN
1520-5363
Type
conf
DOI
10.1109/ICDAR.2013.235
Filename
6628796
Link To Document