no code implementations • 23 Sep 2021 • Sharad Joshi, Yogesh Kumar Gupta, Nitin Khanna
The digital revolution has replaced the use of printed documents with their digital counterparts.
no code implementations • 4 Apr 2020 • Sharad Joshi, Pawel Korus, Nitin Khanna, Nasir Memon
We assess the variability of PRNU-based camera fingerprints with mismatched imaging pipelines (e. g., different camera ISP or digital darkroom software).
no code implementations • 27 Mar 2020 • Sharad Joshi, Suraj Saxena, Nitin Khanna
Source printer identification provides essential information about the origin and integrity of a printed document in a fast and cost-effective manner.
no code implementations • 17 Aug 2018 • Sharad Joshi, Suraj Saxena, Nitin Khanna
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.
1 code implementation • 22 Jun 2017 • Sharad Joshi, Nitin Khanna
This paper proposes a system for classification of source printer from scanned images of printed documents using all the printed letters simultaneously.
no code implementations • 20 Jun 2017 • Hardik Jain, Gaurav Gupta, Sharad Joshi, Nitin Khanna
This paper proposes a set of features for characterizing text-line-level geometric distortions, referred as geometric distortion signatures and presents a novel system to use them for identification of the origin of a printed document.