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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.

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

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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