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Text Extraction from Web Images Based on A Split-and-Merge Segmentation Method Using Colour Perception
 

Summary: Text Extraction from Web Images Based on A Split-and-Merge Segmentation
Method Using Colour Perception
D. Karatzas and A. Antonacopoulos
Pattern Recognition and Image Analysis (PRImA) Group,
Department of Computer Science, University of Liverpool, Liverpool L69 3BX, United Kingdom
http://www.csc.liv.ac.uk/~prima
Abstract
This paper describes a complete approach to the
segmentation and extraction of text from Web images for
subsequent recognition, to ultimately achieve both
effective indexing and presentation by non-visual means
(e.g., audio). The method described here (the first in the
authors' systematic approach to exploit human colour
perception) enables the extraction of text in complex
situations such as in the presence of varying colour
(characters and background). More precisely, in addition
to using structural features, the segmentation follows a
split-and-merge strategy based on the Hue-Lightness-
Saturation (HLS) representation of colour as a first
approximation of an anthropocentric expression of the

  

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

 

Collections: Computer Technologies and Information Sciences