Document sorting and logo recognition using image processing techniques

Lowther, Scott Andrew (2002) Document sorting and logo recognition using image processing techniques. Masters by Research thesis, Queensland University of Technology.

Available via Document Delivery only – contact your library to place a request
If you are the author of this thesis, please contact

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 36188
Item Type: QUT Thesis (Masters by Research)
Additional Information: Presented to the School of Electrical and Electronic Systems Engineering, Queensland University of Technology.
Keywords: Image processing Digital techniques, binarization, connected components, document analysis, document pre-processing, document sorting, higher order spectrum, logo detection, logo recognition, noise removal, skew correction, skew detection, system integration, thesis, masters
Institution: Queensland University of Technology
Copyright Owner: Copyright Scott Andrew Lowther
Deposited On: 22 Sep 2010 13:04
Last Modified: 09 Feb 2011 13:55

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page