Inkjet printer prediction under complicated printing conditions based on microscopic image features
Author:
Funder
National Natural Science Foundation of China
Shanghai Municipal Government
Publisher
Elsevier BV
Reference22 articles.
1. On the spectroscopic cum chemometric approach for differentiation and classification of inkjet, laser and photocopier printed documents;Kumar;Sci. Justice.,2020
2. Forensic classification of black inkjet prints using Fourier transform near-infrared spectroscopy and Linear Discriminant Analysis;Oravec;Forensic Sci. Int.,2019
3. Inkjet ink classification and source prediction based on direct analysis in real-time mass spectrometry (DART-MS) via mass imaging and convolutional neural network (CNN);Zhang;Int. J. Mass Spectrom.,2022
4. Ink source prediction and assessment based on direct analysis in real-time mass spectrometry via the likelihood ratio;Chen;J. Chemom.,2023
5. Analysis of volatile components in inkjet printouts by GC–MS: A classification method;Lian;Forensic Sci. Int.,2021
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1. Prediction of laser printers and cartridges based on three-dimensional profiles via discrimination analysis;Forensic Science International;2024-10
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