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20172020
most citedPassive Classification of Source Printer using Text-line-level Geometric Distortion Signatures from Scanned Images of Printed Documents

3 citations · 3 across the 1 of their papers we have counts for

collaborators

5 papers

eess.IV2020

Empirical Evaluation of PRNU Fingerprint Variation for Mismatched Imaging Pipelines

Sharad Joshi, Pawel Korus, Nitin Khanna +1

We assess the variability of PRNU-based camera fingerprints with mismatched imaging pipelines (e.g., different camera ISP or digital darkroom software). We show that camera fingerp…

cs.CV2020

Source Printer Identification from Document Images Acquired using Smartphone

Sharad Joshi, Suraj Saxena, Nitin Khanna

Vast volumes of printed documents continue to be used for various important as well as trivial applications. Such applications often rely on the information provided in the form of…

cs.MM2018

First Steps Toward CNN based Source Classification of Document Images Shared Over Messaging App

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 identific…

cs.MM2018

Source Printer Classification using Printer Specific Local Texture Descriptor

Sharad Joshi, Nitin Khanna

The knowledge of source printer can help in printed text document authentication, copyright ownership, and provide important clues about the author of a fraudulent document along w…

cs.MM20173 cited

Passive Classification of Source Printer using Text-line-level Geometric Distortion Signatures from Scanned Images of Printed Documents

Hardik Jain, Gaurav Gupta, Sharad Joshi +1

In this digital era, one thing that still holds the convention is a printed archive. Printed documents find their use in many critical domains such as contract papers, legal tender…