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Two Approaches for Text Segmentation in Web Images D. Karatzas and A. Antonacopoulos
 

Summary: Two Approaches for Text Segmentation in Web Images
D. Karatzas and A. Antonacopoulos
PRImA Group, Department of Computer Science, University of Liverpool,
Peach Street, Liverpool L69 7ZF, United Kingdom
http://www.csc.liv.ac.uk/~prima
Abstract
There is a significant need to recognise the text in
images on web pages, both for effective indexing and for
presentation by non-visual means (e.g., audio). This
paper presents and compares two novel methods for the
segmentation of characters for subsequent extraction and
recognition. The novelty of both approaches is the
combination of (different in each case) topological
features of characters with an anthropocentric
perspective of colour perception-- in preference to RGB
space analysis. Both approaches enable the extraction of
text in complex situations such as in the presence of
varying colour and texture (characters and background).
1 Introduction
Web images play a crucial role in bringing visual

  

Source: Antonacopoulos, Apostolos - School of Computing, Science and Engineering, University of Salford

 

Collections: Computer Technologies and Information Sciences