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H-Unique SIGNED

In search of uniqueness - harnessing anatomical hand variation

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 H-Unique project word cloud

Explore the words cloud of the H-Unique project. It provides you a very rough idea of what is the project "H-Unique" about.

traction    quality    images    data    anatomical    interdisciplinary    biometric    datasets    dataset    visible    full    breakthrough    combinatorial    engineered    science    bioinformaticians    multiplicity    extraction    pattern    reliably    standard    computer    hard    lighting    displays    accident    reconstruct    human    position    multimodal    either    gaining    release    variation    retains    crease    collect    first    aetiologies    resolution    environment    pioneer    geneticists    vital    permit    uniqueness    repeatably    search    stored    pigmentation    superficial    admissible    skin    vein    morphometry    profile    domains    algorithms    ideal    searching    interpretation    scientists    formed    anatomists    attempted    source    fingerprints    genetics    scars    truth    active    engagement    citizen    interrogation    forensic    auto    acquired    soft    compare    ground    examine    ranging    automated    transdisciplinary    legally    discriminatory    variants    anthropologists    biometrics    extract    image    previously    locked    inherent    tattoos    retro    anatomy   

Project "H-Unique" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF LANCASTER 

Organization address
address: BAILRIGG
city: LANCASTER
postcode: LA1 4YW
website: www.lancaster.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 2˙495˙377 €
 EC max contribution 2˙495˙377 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-ADG
 Funding Scheme ERC-ADG
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF LANCASTER UK (LANCASTER) coordinator 2˙133˙709.00
2    UNIVERSITY OF DUNDEE UK (DUNDEE) participant 361˙668.00

Map

 Project objective

H-unique will be the first multimodal automated interrogation of visible hand anatomy, through analysis and interpretation of human variation. It will be an interdisciplinary project, supported by anatomists, anthropologists, geneticists, bioinformaticians, image analysts and computer scientists. We will investigate inherent and acquired variation in search of uniqueness, as the hand retains and displays a multiplicity of anatomical variants formed by different aetiologies (genetics, development, environment, accident etc). Hard biometrics, such as fingerprints, are well understood and some soft biometrics are gaining traction within both biometric and forensic domains (e.g. superficial vein pattern, skin crease pattern, morphometry, scars, tattoos and pigmentation pattern). A combinatorial approach of soft and hard biometrics has not been previously attempted from images of the hand. We will pioneer the development of new methods that will release the full extent of variation locked within the visible anatomy of the human hand and reconstruct its discriminatory profile as a retro-engineered multimodal biometric. A significant step change is required in the science to both reliably and repeatably extract and compare anatomical information from large numbers of images especially when the hand is not in a standard position or when either the resolution or lighting in the image is not ideal. Large datasets are vital for this work to be legally admissible. Through citizen engagement with science, this research will collect images from over 5,000 participants, creating an active, open source, ground-truth dataset. It will examine and address the effects of variable image conditions on data extraction and will design algorithms that permit auto-pattern searching across large numbers of stored images of variable quality. This will provide a major novel breakthrough in the study of anatomical variation, with wide-ranging, interdisciplinary and transdisciplinary impact.

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The information about "H-UNIQUE" are provided by the European Opendata Portal: CORDIS opendata.

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