DocumentCode
3539263
Title
Page segmentation using a pyramidal architecture
Author
Cantoni, V. ; Lombardi, L. ; Manzini, G. ; Cinque, L.
Author_Institution
Dipartimento di Inf. e Sistemistica, Pavia Univ., Italy
fYear
1997
fDate
20-22 Oct 1997
Firstpage
195
Lastpage
199
Abstract
In this paper we propose a new page segmentation method for recognizing text and graphics based on a multiresolution representation of the page image. Our approach is based on the analysis of a set of feature maps available at different resolution levels
Keywords
document image processing; image segmentation; parallel architectures; document image understanding; feature maps; graphics; multiresolution representation; page image; page segmentation; pyramidal architecture; text; Costs; Data mining; Engineering drawings; Graphics; Image analysis; Image recognition; Image resolution; Image segmentation; Pixel; Text recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Architecture for Machine Perception, 1997. CAMP 97. Proceedings. 1997 Fourth IEEE International Workshop on
Conference_Location
Cambridge, MA
Print_ISBN
0-8186-7987-5
Type
conf
DOI
10.1109/CAMP.1997.631950
Filename
631950
Link To Document