Digital Watermark for Printing Documents Using Gabor Filter and Neuron Model

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  • ガボールフィルタとニューロンモデルを用いた印刷文書向け電子透かし
  • ガボールフィルタ ト ニューロン モデル オ モチイタ インサツ ブンショ ムケ デンシ スカシ

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In this paper, we focus on watermarking method that uses background texture for printing documents. We investigate a method that not only can produce perceptually natural background texture expressing gray levels of the background gray scale image but also can robustly decode watermark information even from copied and/or cropped partial document by using marker information embedded for synchronization. Main features of the proposed method are as follows: (i) The marker pattern expresses gray levels as well as watermark information. (ii) Gabor filters having different phase information are utilized to detect both marker and watermark information. (iii) Reliability coefficient is provided to each decoded watermark bit and the most plausible decoding is accomplished using a neuron model. We pursuit both production of natural background texture as well as robust watermark detection by the combined effects from the above ideas. We verify the performance of the proposed method by conducting some experiments on watermark detection against copying and cropping.

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