Logo del repository
  1. Home
 
Opzioni

Feature extraction and clustering for the computer-aided reconstruction of shredded documents

UKOVICH A
•
RAMPONI, GIOVANNI
2008
  • journal article

Periodico
JOURNAL OF ELECTRONIC IMAGING
Abstract
We propose a solution for the computer-aided reconstruction of strip-cut shredded documents. First of all, the visual content of the strips is automatically extracted and represented by a number of numerical features. Usually, the pieces of different pages have been mixed. A grouping of the strips belonging to a same page is thus realized by means of a clustering operator, to ease the successive matching performed by a human operator with the help of a computer.
DOI
10.1117/1.2898551
WOS
WOS:000255519500027
Archivio
http://hdl.handle.net/11368/2262508
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-68249111266
Diritti
metadata only access
Soggetti
  • Image processing

Web of Science© citazioni
11
Data di acquisizione
Feb 25, 2024
google-scholar
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your nstitution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Realizzato con Software DSpace-CRIS - Estensione mantenuta e ottimizzata da 4Science

  • Impostazioni dei cookie
  • Informativa sulla privacy
  • Accordo con l'utente finale
  • Invia il tuo Feedback