Result: Text image spotting using local crowdedness and hausdorff distance

Title:
Text image spotting using local crowdedness and hausdorff distance
Source:
Digital libraries (achievements, challenges and opportunities)0ICADL 2006. :333-339
Publisher Information:
Berlin; Heidelberg; New York: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 12 ref 1
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Science, Chonnam National University, 300 YongBong-Dong, Buk-Gu, Gwangju 500-757, Korea, Republic of
ISSN:
0302-9743
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19151203
Database:
PASCAL Archive

Further Information

This paper investigates a Hausdorff distance, which is used for measurement of image similarity, to see whether it is also effective for document image retrieval. We proposed a method using a local crowdedness algorithm and a modified Hausdorff distance which has an ability of detection of partial text image in a document image. We found that the proposed method achieved a reliable performance of text spotting on postal envelops.