Forensic classification of black inkjet prints using Fourier transform near-infrared spectroscopy and Linear Discriminant Analysis

Oravec, Michal; Beganović, Anel; Gál, Lukáš; Čeppan, Michal; Huck, Christian W.

doi:10.1016/j.forsciint.2019.03.041

Cited by 25 publications

(10 citation statements)

References 29 publications

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“…Source printer identification is an established problem area that has attracted significant research attention from the researchers in pattern recognition in general and document forensics in particular (Blanco, 1993; Chiang et al, 2009; Oravec et al, 2019). The printer‐specific imperfections in printing various characters or images allow exploiting them for identification purposes.…”

Section: Literature Reviewmentioning

confidence: 99%

Document forgery detection using source printer identification: A comparative study of text‐dependent versus text‐independent analysis

et al. 2022

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Source printer identification represents an interesting modality for document forgery detection. Establishing the identity of the printer that was employed to print a questioned document allows concluding its authenticity. This paper investigates the effectiveness of deep visual features (learned using convolutional neural networks) in characterization of the source printer. Images of printed documents are divided into small patches as well as characters for extraction of features. An off-the-shelf recognition engine is also integrated, allowing experiments in text-dependent as well as text-independent modes. Experiments are carried out on a standard data set of documents from 20 different printers and identification rates of 95.52% and 98.06% are reported using patches and characters, respectively. Furthermore, the discriminating power of different characters, as well as their combinations, is also being studied. Unlike many existing techniques, which rely on pre-segmented characters and report results by comparing same characters only, the proposed technique works on complete images of printed documents and reports high identification rates.

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Section: Literature Reviewmentioning

confidence: 99%

Document forgery detection using source printer identification: A comparative study of text‐dependent versus text‐independent analysis

et al. 2022

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“…This work demonstrated a full suitability of NIR spectroscopy, combined with supervised DA methods, to perform fast and accurate analysis of scanning of inkjet-printed documents in a non-destructive manner. 7 The feasibility of using other vibrational spectroscopic techniques for analysis of black inkjet and laser prints for forensic analysis of the documents was evaluated as well. The aim of the second case study was to investigate the spectral properties and to compare the suitability of applying SERS with Fourier transform Raman (FT-Raman) to identify the spectra of prints.…”

Section: Classification Of Printsmentioning

confidence: 99%

“…The first case study aimed at the forensic distinction of black inkjet on the documents in question. 7 Non-destructive analysis was based on NIR spectroscopy combined with supervised classification methods; discriminant analysis (DA), linear discriminant analysis (LDA), and quadratic discriminant analysis (QDA). The case study took into examination 22 different prints of the three most common brands of office printers offered at retail market; carbon black and black colorant prints were used.…”

Section: Practical Application Potential Of Nir Spectroscopy Comparedmentioning

confidence: 99%

Section: Practical Application Potential Of Nir Spectroscopy Comparedmentioning

confidence: 99%

“… Source: reproduced with permission from Oravec et al., 2019. 7 QDA: quadratic discriminant analysis; PC: principal components; SNV: standard normal variate.…”

Section: Practical Application Potential Of Nir Spectroscopy Comparedmentioning

confidence: 99%

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Novel near-infrared and Raman spectroscopic technologies for print and photography identification, classification, and authentication

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Modern forensics encounters new challenges and demands new analytical methods that would meet variety of prerequisites regarding their accuracy, rapidness, flexibility, and reliability. Vibrational spectroscopic methods, in particular near-infrared spectroscopy, offer such potential and meet an increasing interest in forensics for authentication of various documents. Pittcon 2020 Conference, which took place in Chicago, Illinois, included a Session dedicated to the role of novel tools of investigation in the forensics of tomorrow. This article summarizes and complements the presentation upon how the current state-of-the-art and future prospects of vibrational spectroscopic techniques fits into this role. The application of near-infrared spectroscopy, including the benefits stemming from using novel miniaturized portable instruments, Raman and surface-enhanced Raman scattering techniques, is discussed in detail in the present article.

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Recent Chemometric Opportunities in Criminalistics

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Harrington³

2021

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Recently, the growing applicability of chemometrics in various areas of civil and criminal investigations has been instrumental in resolving complex cases. As criminals become more inventive and measurement methods become more prevalent with onsite analysis and more sophisticated with increases in resolution and sensitivity, forensic analysts should be equipped with tools for advancing their laboratory analysis and investigations. The traditional mode of data analysis in criminalistics will not suffice for complex crime lab investigations, hence the need for the understanding and application of the statistical and chemometric tools is indispensable. Accurate interpretation of forensic evidence is critical for achieving justice. The use of chemometrics helps the analyst from designing effective and efficient experiments to the presentation of compelling evidence to the courts. This article highlights the most recent application of chemometrics in different forensic science areas and shows how pivotal statistical tools are to answering consequential questions in criminal investigations.

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Forensic classification of black inkjet prints using Fourier transform near-infrared spectroscopy and Linear Discriminant Analysis

Cited by 25 publications

References 29 publications

Document forgery detection using source printer identification: A comparative study of text‐dependent versus text‐independent analysis

Document forgery detection using source printer identification: A comparative study of text‐dependent versus text‐independent analysis

Novel near-infrared and Raman spectroscopic technologies for print and photography identification, classification, and authentication

Recent Chemometric Opportunities in Criminalistics

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