toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
  Record Links
Author (up) Marçal Rusiñol; Volkmar Frinken; Dimosthenis Karatzas; Andrew Bagdanov; Josep Llados edit  doi
  Title Multimodal page classification in administrative document image streams Type Journal Article
  Year 2014 Publication International Journal on Document Analysis and Recognition Abbreviated Journal IJDAR  
  Volume 17 Issue 4 Pages 331-341  
  Keywords Digital mail room; Multimodal page classification; Visual and textual document description  
  Abstract In this paper, we present a page classification application in a banking workflow. The proposed architecture represents administrative document images by merging visual and textual descriptions. The visual description is based on a hierarchical representation of the pixel intensity distribution. The textual description uses latent semantic analysis to represent document content as a mixture of topics. Several off-the-shelf classifiers and different strategies for combining visual and textual cues have been evaluated. A final step uses an n-gram model of the page stream allowing a finer-grained classification of pages. The proposed method has been tested in a real large-scale environment and we report results on a dataset of 70,000 pages.  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1433-2833 ISBN Medium  
  Area Expedition Conference  
  Notes DAG; LAMP; 600.056; 600.061; 601.240; 601.223; 600.077; 600.079 Approved no  
  Call Number Admin @ si @ RFK2014 Serial 2523  
Permanent link to this record
Select All    Deselect All
 |   | 

Save Citations:
Export Records: