In our previous work, we have demonstrated techniques to embed and extract extrinsic signatures from halftone images and text documents. Well developed embedding algorithms should increase the payload capacity while enhance the reliability of detection. In this study, we will develop a printer model that will be used to optimize the embedding algorithm for capacity and detection reliability. The model incorporates the impact of the process modulation parameter, e.g. laser intensity, with a stochastic dot interaction model to estimate the impact of the modulation on a known halftone pattern. Experimental data validated the effectiveness of the proposed model in predicting the impact of laser intensity modulation on the reflectance of the printout.
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