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There
is a significant need to analyse the text in images on WWW pages,
both for effective indexing and for presentation by non-visual
means (e.g. audio). This talk argues that the extraction of text
from such images benefits from an athropocentric approach to the
distinction between colour regions. The method described here
is part of a systematic approach to approximate the human colour
perception characteristics for the identification of character
regions. In this instance, the image is decomposed by performing
histogram analysis of Hue and Luminance in the HLS colour space
and merging using a wavelength-luminance colour representation.
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