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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.

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

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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