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Reading from Scratch - A Vision-System for Reading Data on Micro-Structured Surfaces

Ralf Dragon, Christian Becker, Bodo Rosenhahn, Jörn Ostermann
DAGM
2009

Abstract

Labeling and marking industrial manufactured objects gets increasingly important nowadays because of novel material properties and plagiarism. As part of the Collaborative Research Center 653 which investigates micro-structured metallic surfaces for inherent mechanical data storage, we research into a stable and reliable optical readout of the written data. Since this comprises a qualitative surface reconstruction, we use directed illumination to make the micro structures visible. Then we apply a spectral analysis to obtain image partitioning and perform signal tracking enhanced by a customized Hidden Markov Model. In this paper, we derive the algorithms used and demonstrate reading data from a surface with 1.6 kbit/cm2 from a micro-structured groove which varies by only 3 ÎŒm in depth (thus a “scratch”). We demonstrate the system’s robustness with experiments with real and artificially-rendered surfaces.


Link to publisher's page
@InProceedings{eth_biwi_00967,
  author = {Ralf Dragon and Christian Becker and Bodo Rosenhahn and J\"orn Ostermann},
  title = {Reading from Scratch - A Vision-System for Reading Data on Micro-Structured Surfaces},
  booktitle = {DAGM},
  year = {2009},
  keywords = {}
}