First steps toward CNN based source classification of document images shared over messaging app

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dc.contributor.author Joshi, Sharad
dc.contributor.author Saxena, Suraj
dc.contributor.author Khanna, Nitin
dc.date.accessioned 2019-06-29T06:04:57Z
dc.date.available 2019-06-29T06:04:57Z
dc.date.issued 2019-10
dc.identifier.citation Joshi, Sharad; Saxena, Suraj and Khanna, Nitin, "First steps toward CNN based source classification of document images shared over messaging app", Signal Processing: Image Communication, DOI: 10.1016/j.image.2019.05.020, vol. 78, pp. 32-41, Oct. 2019 en_US
dc.identifier.issn 0923-5965
dc.identifier.uri https://doi.org/10.1016/j.image.2019.05.020
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/4575
dc.description.abstract Knowledge of source smartphone corresponding to a document image can be helpful in a variety of applications including copyright infringement, ownership attribution, leak identification, and usage restriction. In this work, we investigate a convolutional neural network-based approach to solve source smartphone identification problem for printed text documents which have been captured by smartphone cameras and shared over messaging platform. The proposed method comprises of a fusion technique which allows a single network to learn a model directly from two-channel images fused out of native letter images and their denoised versions. In the absence of any publicly available dataset addressing this problem, we introduce a new image dataset consisting of 770 images of documents printed in three different fonts, captured using 22 smartphones and shared over WhatsApp. A series of experiments are conducted on the newly captured dataset including an experiment in the presence of an active adversary who might re-scale the native images before sharing over WhatsApp. In all the experiments, for classification of WhatsApp-processed document images, the proposed method outperforms the baseline methods.
dc.description.statementofresponsibility by Sharad Joshi, Suraj Saxena and Nitin Khanna
dc.format.extent vol. 78, pp. 32-41
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Camera identification en_US
dc.subject Image forensics en_US
dc.subject Convolutional neural networks (CNN) en_US
dc.subject Document forensics en_US
dc.subject Intrinsic signatures en_US
dc.subject WhatsApp en_US
dc.title First steps toward CNN based source classification of document images shared over messaging app en_US
dc.type Article en_US
dc.relation.journal Signal Processing: Image Communication


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