Data hiding techniques for printed binary images

H. C.A. Wang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

The objective of this research is to develop a method to hide information inside a binary image by digital halftoning techniques with certain modifications. Two modified digital halftoning techniques, modified ordered dithering and modified multiscale error diffusion, are used in this research. The data is encoded pixel by pixel in the halftone image according to position at the image and sequence of binarization, respectively. The eye model and mean square error are used to measure the image quality. A computer vision method has been developed to recognize the printed binary image. The results show that thousands of binary images similar to human vision but quite distinct from each other by computer vision can be generated. The eye model and computer vision are useful for both binary image quality measurement and data recognition. These new techniques have great potential in printing security documents such as currency, ID card as well as confidential documents.

Original languageEnglish
Title of host publicationProceedings - International Conference on Information Technology
Subtitle of host publicationCoding and Computing, ITCC 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages55-59
Number of pages5
ISBN (Electronic)0769510620, 9780769510620
DOIs
Publication statusPublished - 2001
EventInternational Conference on Information Technology: Coding and Computing, ITCC 2001 - Las Vegas, United States
Duration: 2001 Apr 22001 Apr 4

Publication series

NameProceedings - International Conference on Information Technology: Coding and Computing, ITCC 2001

Other

OtherInternational Conference on Information Technology: Coding and Computing, ITCC 2001
Country/TerritoryUnited States
CityLas Vegas
Period2001/04/022001/04/04

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Software

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