Application of Kinoform CGHs to an ID Tag System

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In this paper, we successfully apply multilevel kinoform computer-generated hologram (CGH) patterns, which are recorded on a fine texture paper by a photo printer, into the hologram identification (ID) tag system. The 11-level kinoform CGH images are generated on our tag samples by a modified simulated annealing method at a low quantization error rate of 0.4% compared with the original data and then retrieved by a commercial digital camera and reconstructed in the computer to the original data with about 4% reconstruction error rate. The low reconstruction error is accomplished by suitable pattern recognition and image processing. We also propose a kinoform reconstruction algorithm that can considerably reduce reconstruction errors occurring when the tag is damaged. It is shown that the original image of a fingerprint can be reconstructed at a low error rate of about 12%, although nearly half of the tag data are lost.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2010-08
Language
English
Article Type
Article
Keywords

HOLOGRAMS; OPTIMIZATION

Citation

IEEE PHOTONICS JOURNAL, v.2, no.4, pp.553 - 562

ISSN
1943-0655
DOI
10.1109/JPHOT.2010.2050872
URI
http://hdl.handle.net/10203/99661
Appears in Collection
EE-Journal Papers(저널논문)
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