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ZENODO
Dataset . 2015
License: CC BY
Data sources: ZENODO
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Laser Printer Attribution: Exploring new Features and Beyond Dataset

Authors: Castelo Branco Ferreira, Anselmo;

Laser Printer Attribution: Exploring new Features and Beyond Dataset

Abstract

This is the dataset of the paper Laser Printer Attribution: Exploring New Features and Beyond.The dataset contains printed documents and extracted characters from 10 printers as described in thepaper. Each printer prints documents in English and Portuguese. The directories are then divided inenglish documents (I) and portuguese Documents (P). There are three kinds of dataset:1- Printer_full_dataset: this dataset contains the full documents scanned. We use this dataset whenwe perform experiments on frames and in the whole document.2- Printer_char_dataset: contains extracted characters per printer and per document. We use thisdataset when we perform experiments on characters.3- Printer_char_Farid_Dataset: The work of kee and Farid was applied on letters of samesize, and this does not happen on our Printer_char_dataset. Here, the letters are resized to be ofsame dimensions, then, the Kee and Farid's approach can work.Please find more details on the dataset in the README file that follows the zip file.Once using the dataset in your research, plese don't forget to cite our paper: @article{anselmoetal:2015, title = "Laser Printer Attribution: Exploring New Features and Beyond", journal = "Forensic Science International ", volume = "247", number = "0", pages = "105 - 125", year = "2015", author = "Anselmo Ferreira and Luiz C. Navarro and Giuliano Pinheiro and Jefersson A. dos Santos and Anderson Rocha", }

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average