Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Document image retrieval without OCRing using a video scanning system

Contributo in Atti di convegno
Data di Pubblicazione:
2000
Abstract:
In this paper, we propose a technique for efficient document retrieval from digital libraries containing document images which are token based compressed. The query image is captured from a paper document by the video scanning tool of a multimedia system. The technique we propose uses the layout information supplied by the relative positions of the character tokens on the page of a "query" paper document to retrieve the original document in the image database. This technique avoids OCRing the query document and the documents in the database; moreover avoids decompressing the token based compressed documents in the database, therefore achieving important time and computational gains.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Image similarity retrieval; Document image databases; Video scanning; Multimedia systems; Image processing and computer vision
Elenco autori:
Kuruoglu, ERCAN ENGIN
Autori di Ateneo:
KURUOGLU ERCAN ENGIN
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/366188
Titolo del libro:
Proceedings
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)