The systematic profiling of false identity documents: Method validation and performance evaluation using seizures known to originate from common and different sources

Baechler, Simon; Terrasse, V.; Pujol, J.P.; Fritz, Thibaud M.; Ribaux, Olivier; Margot, Pierre

doi:10.1016/j.forsciint.2013.07.022

Cited by 23 publications

(14 citation statements)

References 10 publications

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“…They have the critical advantage of relying on explicit, transparent and verifiable rules. They can be used with both quantitative and qualitative data, as demonstrated in previous work [15,16]. Furthermore, metrics can be seamlessly integrated with additional statistical methods commonly used to manage and process big datasets typically encountered in forensic intelligence (e.g.…”

Section: Comparison Process: Iterative Selection Of the 'Best' Metricmentioning

confidence: 99%

“…Metrics, such as the Pearson correlation, the cosine function or the Manhattan and Euclidean distances have proven their relevance across different fields of study, such as illicit drugs, counterfeit medicines or false identity documents [14][15][16][17][18][19]. Figure 1 represents the distribution of score frequencies (i.e.…”

Section: Comparison Process: Iterative Selection Of the 'Best' Metricmentioning

confidence: 99%

“…qualitative and discrete data) on the right. The individual results were discussed more thoroughly in previous research [15,16]. As observed in Figure 1, once the scores are computed using metrics either as a degree of proximity or a distance, they can be treated independently of the nature of the specific trace and the type of data.…”

Section: Comparison Process: Iterative Selection Of the 'Best' Metricmentioning

confidence: 99%

“…1 The resulting information in terms of intra-and inter-variability can be managed and assessed through a common process and the most fit-for-purpose metric can be rationally chosen. This was conducted in previous articles and can be found in [15,16]. Detection error trade-off (DET) and receiver operating characteristics (ROC) curves as well as Tippett plots are recommended tools to assess and compare scientifically and numerically the performance of different metrics [20][21][22][23][24].…”

Section: Comparison Process: Iterative Selection Of the 'Best' Metricmentioning

confidence: 99%

“…The commonality between these evaluation approaches is their ability to assess credibility and integrity criteria through the expression of type I, and type II error rates. Both approaches have been presented and practically applied in [15]. Therefore, they will only be briefly described in the present article.…”

Section: Evaluation System: Proposal Of An Integrated Frameworkmentioning

confidence: 99%

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Forensic intelligence framework. Part II: Study of the main generic building blocks and challenges through the examples of illicit drugs and false identity documents monitoring

Baechler¹,

Morelato²,

Ribaux³

et al. 2015

Forensic Science International

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The development of forensic intelligence relies on the expression of suitable models that better represent the contribution of forensic intelligence in relation to the criminal justice system, policing and security. Such models assist in comparing and evaluating methods and new technologies, provide transparency and foster the development of new applications. Interestingly, strong similarities between two separate projects focusing on specific forensic science areas were recently observed. These observations have led to the induction of a general model (Part I) that could guide the use of any forensic science case data in an intelligence perspective. The present article builds upon this general approach by focusing on decisional and organisational issues. The article investigates the comparison process and evaluation system that lay at the heart of the forensic intelligence framework, advocating scientific decision criteria and a structured but flexible and dynamic architecture. These building blocks are crucial and clearly lay within the expertise of forensic scientists. However, it is only part of the problem. Forensic intelligence includes other blocks with their respective interactions, decision points and tensions (e.g. regarding how to guide detection and how to integrate forensic information with other information). Formalising these blocks identifies many questions and potential answers. Addressing these questions is essential for the progress of the discipline. Such a process requires clarifying the role and place of the forensic scientist within the whole process and their relationship to other stakeholders.

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Section: Comparison Process: Iterative Selection Of the 'Best' Metricmentioning

confidence: 99%

Section: Comparison Process: Iterative Selection Of the 'Best' Metricmentioning

confidence: 99%

Section: Comparison Process: Iterative Selection Of the 'Best' Metricmentioning

confidence: 99%

Section: Comparison Process: Iterative Selection Of the 'Best' Metricmentioning

confidence: 99%

Section: Evaluation System: Proposal Of An Integrated Frameworkmentioning

confidence: 99%

See 3 more Smart Citations

Forensic intelligence framework. Part II: Study of the main generic building blocks and challenges through the examples of illicit drugs and false identity documents monitoring

Baechler¹,

Morelato²,

Ribaux³

et al. 2015

Forensic Science International

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Formal concept analysis with negative attributes for forgery detection

Ojeda‐Aciego

Rodríguez‐Jiménez

2020

Comp and Math Methods

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Europe's system of open frontiers, commonly known as "Schengen," let people from different countries travel and cross the inner frontiers without problems. Different documents from these countries, not only European, can be found in road checkpoints and there is no international database to help Police forces to detect whether they are false or not. People who need a driver license to access to specific jobs, or a new identity because of legal problems, often contact forgers who provide false documents with different levels of authenticity. Governments and Police Forces should improve their methodologies, by ensuring that staff is increasingly better able to detect false or falsified documents through their examination, and follow patterns to detect and situate these forgers. In this work, we propose a method, based in formal concept analysis using negative attributes, which allows Police forces analyzing false documents and provides a guide to enforce the detection of forgers.

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Document Fraud: Will Your Identity Be Secure in the Twenty-first Century?

Baechler

2020

Eur J Crim Policy Res

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The systematic profiling of false identity documents: Method validation and performance evaluation using seizures known to originate from common and different sources

Cited by 23 publications

References 10 publications

Forensic intelligence framework. Part II: Study of the main generic building blocks and challenges through the examples of illicit drugs and false identity documents monitoring

Forensic intelligence framework. Part II: Study of the main generic building blocks and challenges through the examples of illicit drugs and false identity documents monitoring

Formal concept analysis with negative attributes for forgery detection

Document Fraud: Will Your Identity Be Secure in the Twenty-first Century?

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