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
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;
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
DOI :
10.1109/CAMP.1997.631950
