@InProceedings{Wong F.S.Seng89,
  title =        "{ICR}: {A} {T}ransputer-{B}ased {I}ntelligent {C}haracter {R}eader",
  author=        "Wong F.S.,  Francis and Seng,  Koh Liang",
  editor=        "Wexler,  J.",
  pages =        "182--189",
  booktitle=     "{OUG}-11: {D}eveloping {T}ransputer {A}pplications",
  isbn=          "90 5199 020 0",
  year=          "1989",
  month=         "sep",
  abstract=      "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."
}