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Logo retrieval in document images

  • University of Maryland, College Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

40 Scopus citations

Abstract

This paper presents a scalable algorithm for segmentation free logo retrieval in document images. The contributions include the use of the SURF feature for logo retrieval, a novel indexing algorithm for efficient retrieval and a method to filter results using the orientation of local features and geometric constraints. Results demonstrate that logo retrieval can be performed with high accuracy and efficiently scaled to a large datasets.

Original languageEnglish
Title of host publicationProceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012
Pages135-139
Number of pages5
DOIs
StatePublished - 2012
Event10th IAPR International Workshop on Document Analysis Systems, DAS 2012 - Gold Coast, QLD, Australia
Duration: Mar 27 2012Mar 29 2012

Publication series

NameProceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012

Conference

Conference10th IAPR International Workshop on Document Analysis Systems, DAS 2012
Country/TerritoryAustralia
CityGold Coast, QLD
Period03/27/1203/29/12

Keywords

  • Document Images
  • Indexing
  • Logo retrieval
  • SURF

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