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Open AccessProceedings Article

Forensic biometrics: From two communities to one discipline

TLDR
How the fields of biometrics and forensic science can contribute and benefit from each other is described to foster the development of new methods and tools improving the current forensic biometric applications and allowing for the creation of new ones.
Abstract
This article describes how the fields of biometrics and forensic science can contribute and benefit from each other. The aim is to foster the development of new methods and tools improving the current forensic biometric applications and allowing for the creation of new ones. The article begins with a definition and a summary of the development in forensic biometrics. Then it describes the data and biometric modalities of interest in forensic science and the forensic applications embedding biometric technology. On this basis it describes the solutions and limitations of the current practice regarding the data, the technology and the inference models. Finally, it proposes research orientations for the improvement of the current forensic biometric applications and suggests some ideas for the development of some new forensic biometric applications

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Citations
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Journal ArticleDOI

Bridging the gap: from biometrics to forensics.

TL;DR: How biometrics evolved from forensic science and how its focus is shifting back to its origin in order to address some challenging problems are discussed, and some applications where the principles ofBiometrics are being successfully leveraged into forensics inorder to solve critical problems in the law enforcement domain are presented.
Journal ArticleDOI

Latent Fingerprint Matching: A Survey

TL;DR: The process of automatic latent fingerprint matching is divided into five definite stages, and the existing algorithms, limitations, and future research directions in each of the stages are discussed.

Forensic evaluation of the evidence using automatic speaker recognition systems = Evaluación de la evidencia forense utilizando sistemas automáticos de reconocimiento locutor

Daniel Ramos
TL;DR: Tesis doctoral inedita. Universidad Autonoma de Madrid, Escuela Politecnica Superior, noviembre de 2007 as discussed by the authors, Barcelona, Spain
Journal ArticleDOI

Performance Study of a Score-based Likelihood Ratio System for Forensic Fingermark Comparison.

TL;DR: The results indicate that the evidential strength for same source comparisons that do not meet the Dutch twelve‐point standard may be substantial.
Journal ArticleDOI

Cross-view gait recognition by fusion of multiple transformation consistency measures

TL;DR: A gait recognition algorithm that achieves high accuracy in cases where observation views are different and is formed a hypothesis that the multiple transformed features and original features should be similar to each other if the target subjects are the same.
References
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Posted Content

The Coming Paradigm Shift in Forensic Identification Science

TL;DR: Changes in the law pertaining to the admissibility of expert evidence in court, together with the emergence of DNA typing as a model for a scientifically defensible approach to questions of shared identity, are driving the older forensic sciences toward a new scientific paradigm.
Book ChapterDOI

Soft Biometric Traits for Personal Recognition Systems

TL;DR: Experiments show that the recognition performance of a fingerprint system can be improved significantly by using additional user information like gender, ethnicity, and height and a framework for integrating the ancillary information with the output of a primary biometric system is presented.
Journal ArticleDOI

The Coming Paradigm Shift in Forensic Identification Science

TL;DR: The assumption of discernible uniqueness that resides at the core of forensic identification sciences is weakened by evidence of errors in proficiency testing and in actual cases as discussed by the authors, and the emergence of DNA typing as a model for a scientifically defensible approach to questions of shared identity is driving the older forensic sciences toward a new scientific paradigm.
Journal ArticleDOI

A model for case assessment and interpretation.

TL;DR: A new approach to decision-making in an operational forensic science organization based on a model, embodying the principles of Bayesian inference, which has been developed through workshops run within the Forensic Science Service for forensic science practitioners is described.
Book

Bayesian Networks and Probabilistic Inference in Forensic Science

TL;DR: In this article, a Bayesian network is used to evaluate scientific evidence in one-trace transfer cases and to evaluate evidence with more than two propositions, when evidence has more than one component: footwear marks evidence.
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