%T ICR: A Transputer\-Based Intelligent Character Reader
%A Francis Wong F.S., Koh Liang Seng
%E J. Wexler
%B OUG\-11: Developing Transputer Applications
%X This paper presents the design of a transputer\-based
Intelligent Character Reader (ICR). The implementation of
the ICR is based on two algorithms. The Filtered Projection
Technique (FPT) is a modification of the conventional
projection profile techniques \- it filters out and projects
the structural information of a visual pattern into several
components along several directions, such that some salient
structural information can be extracted from these
components easily. The Structural Complexity Index (SCI)
algorithm determines the structural complexity of a visual
pattern and produces the corresponding index to indicate its
relative complexity. The ICR is capable of recognizing
printed characters, such as the Chinese characters printedon
the local newspapers, accurately, despite the presence of
noise due to printing, scanning, slight font variations and
misalignment. The ICR prototype is implemented on Occam II
and C, and run on an array of transputers.
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