Probabilistic modelling of printed dots at the microscopic scale

作者：

Highlights：

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• A novel model for random shape of printed dots at microscopic scale is proposed.

• This parametric model is based on non-stationary Markov chain.

• The model is validated by both synthetic and real microscopic dots.

• The application of the model in printer identification is conducted.

摘要

•A novel model for random shape of printed dots at microscopic scale is proposed.•This parametric model is based on non-stationary Markov chain.•The model is validated by both synthetic and real microscopic dots.•The application of the model in printer identification is conducted.

论文关键词：Probabilistic model,Bernoulli process,Metropolis–Hastings within Gibbs,Microscopic printing,Markov chain

论文评审过程：Received 28 September 2017, Revised 8 January 2018, Accepted 9 January 2018, Available online 16 January 2018, Version of Record 4 February 2018.

论文官网地址：https://doi.org/10.1016/j.image.2018.01.003