Data embedding into characters

Koichi Kise, Shinichiro Omachi, Seiichi Uchida, Masakazu Iwamura, Marcus Liwicki

Research output: Contribution to journalArticlepeer-review

Abstract

This paper reviews several trials of re-designing conventional communication medium, i.e., characters, for enriching their functions by using data-embedding techniques. For example, characters are redesigned to have better machine-readability even under various geometric distortions by embedding a geometric invariant into each character image to represent class label of the character. Another example is to embed various information into handwriting trajectory by using a new pen device, called a data-embedding pen. An experimental result showed that we can embed 32-bit information into a handwritten line of 5 cm length by using the pen device. In addition to those applications, we also discuss the relationship between data-embedding and pattern recognition in a theoretical point of view. Several theories tell that if we have appropriate supplementary information by data-embedding, we can enhance pattern recognition performance up to 100%.

Original languageEnglish
Pages (from-to)10-20
Number of pages11
JournalIEICE Transactions on Information and Systems
VolumeE98D
Issue number1
DOIs
Publication statusPublished - 2015 Jan 1

Keywords

  • CHaracter recognition
  • Character design
  • Data embedding
  • Geometric invariant
  • Handwriting
  • Pen device
  • Supplementary information

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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