Detection of word groups based on irregular pyramid
Poh Kok Loo, Chew Lim Tan · 2002
This paper proposes a new algorithm to detect word groups in imaged documents, using an irregular pyramid. The uniqueness of this algorithm is its inclusion of strategic background information in the analysis, which most techniques have discarded. Both the foreground (i.e. text-area) and portions of the background (i.e. white-area) regions are examined. The fundamental aspect of the algorithm is based on the concept of "closeness", where text information within a group is closer to other text information within the group, in terms of spatial distance, compared to other text areas. The result produced by the algorithm is encouraging, with the ability to correctly group words of different sizes, fonts, arrangements and orientations.