Two Approaches for Text Segmentation in Web Images

Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1 p. 131
Two Approaches for Text Segmentation in Web Images
D. Karatzas, University of Liverpool
A. Antonacopoulos, University of Liverpool

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227646
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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).
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Citation: D. Karatzas, A. Antonacopoulos, "Two Approaches for Text Segmentation in Web Images," icdar, p. 131, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003

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