In this work, we explore solutions able to learn discriminant-printing patterns directly from the available data during an investigation, without any further ...

Apr 12, 2017 · In this paper, we explore solutions able to learn discriminant-printing patterns directly from the available data during an investigation, ...

laser printer attribution based on the analysis of small patches representing text characters. The network is characterized by a small amount of parameters ...

Jun 1, 2017 · 1) The design and development of an ad-hoc CNN for laser printer attribution based on the analysis of small patches representing text characters ...

Source code related to the paper "Data-Driven Feature Characterization Techniques for Laser Printer Attribution", published by IEEE Transactions on Information ...

Data-Driven Feature Characterization Techniques for Laser Printer Attribution ... laser printers prove that the presented method identifies the color laser ...

Ferreira et al. Data-driven feature characterization techniques for laser printer attribution. IEEE Transactions on Information Forensics and Security. (2017).

Data-driven feature characterization techniques for laser printer attribution ... Learning deep features for source color laser printer identification based on ...

Data-Driven Feature Characterization Techniques for Laser Printer Attribution ... Laser printer attribution is an increasing problem with several applications, ...

4. Proposed methods for laser printer attribution The techniques proposed in this paper were originated by a series of microscope analyses of printed documents.