Objective
Forensics is a well-established science that aims at applying various disciplines to the law, both civil and criminal, in order to solve questions related to crime. It is mainly concerned with proving and investigating infringements, identifying perpetrators and describing modus operandi. Biometrics, on the other hand, is a relatively new science that aims at measuring and analysing a person's unique characteristics, both behavioural and physical. It is mainly concerned with the development of technological solutions to extract and evaluate a person's biometric data mainly for verification and identification purposes.
The potential of applying biometrics to forensics comes natural as several forensic questions rely on identifying, or verifying the identity, of people allegedly involved in crime. Although these two scientific communities have operated in relative isolation over the past couple of decades, forensic biometrics have been successfully applied through the development automatic fingerprint identification systems (AFIS), and most recently, through the development of face recognition systems. The potential of forensics biometrics, however, can be extended to other biometric traits, such as iris and gait analysis.
This proposal also aims at consolidating the integration of multimedia forensics into the forensic science. Multimedia forensics is concerned with the development of scientific methods to extract, analyse and categorize digital evidence derived from multimedia sources, such as imaging devices. For example, developing technologies to identify, categorise and classify the source of images and video, as well as to authenticate and verify the integrity of their content. Since the enabling technologies in multimedia forensics are similar to those used for identification and verification purposes in biometric forensics, the integration of these areas is seamless.
Fields of science
- natural sciencescomputer and information sciencescomputer securityaccess control
- social scienceslawlaw enforcement
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- medical and health sciencesother medical sciencesforensic sciences
Programme(s)
Coordinator
CV4 8UW COVENTRY
United Kingdom
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Participants (5)
06410 Biot
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07100 Sassari
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5020 Salzburg
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Participation ended
17003 GIRONA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1000 Ljubljana
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (11)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
48824 East Lansing, Michigan
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
100080 BEIJING
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
13083 875 Campinas Sp
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
00 000 Hong Kong
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
639798 Singapore
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
510641 GUANGZHOU
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
07102 1982 Newark Nj
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
110078 NEW DELHI
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
2006 Sydney
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
12200 La Habana
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
47500 Bandar Sunway
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