Word extraction using irregular pyramid

This paper proposed a new algorithm to perform text extraction from imaged documents. The paper focused in the extraction of word group. Irregular pyramid structure is used as the basis of the algorithm. The uniqueness of this algorithm is its inclusion of strategic background information in the analysis where most techniques have discarded. Both foreground (i.e. text area) and portion of background (i.e. white area) regions are examined. The fundamental of the algorithm is based on the concept of “closeness” where text information within a group is closed to each other, in terms of spatial distance, as compared to other text area. The result produced by the algorithm is encouraging with the ability to correctly group words of different size, font, arrangement and orientation.