Biometrics: Supporting technology, policy and professional developments
Submitting Institution
University of KentUnit of Assessment
General EngineeringSummary Impact Type
TechnologicalResearch Subject Area(s)
Information and Computing Sciences: Artificial Intelligence and Image Processing, Information Systems
Summary of the impact
Our impact on the theory and practice of biometrics (identification of
individuals through
measurement/analysis of their physiological/behavioural characteristics)
embraces contributions to
technological development, to general systems-level principles and to
public policy and
professionalisation issues. Our research and consequent engagement across
the stakeholder
community has impacted on the technological development of practical
biometrics through take-up
by industry (e.g. InMezzo, one of the UK's leading secure information
specialists, has enhanced
identity authentication procedures), company spinout (the EFIT-V facial
recognition suite from
VisionMetric Ltd fundamentally changed the means by which facial
composites are created and is now
used by more than 85% of Britain's Police Forces), leadership of the
development of standards for
the expanding commercial marketplace (e.g. establishment of standards for
image acquisition for
e-passports and other access control applications) and policy-level input
to Government and
International Professional Bodies, providing long-term support for
practical deployment and end-
user engagement (the Biometrics Assurance Group with Fairhurst as an
independent member
reported the security risk and problems identifying fingerprints within
the UK government's £5.6bn
ID card scheme proposal).
Underpinning research
Our long-standing and widely recognised biometrics research has made a
significant impact on the
development of the field through the work of a group comprising M.
Fairhurst (1972-, Professor), F.
Deravi (1998-, Reader), R. Guest (2000-, Senior Lecturer), G. Howells
(1996-, Reader), K.
Sirlantzis (2003-, Lecturer) and C. Solomon (1994-, Reader). Our work
reflects the multi-faceted
nature of biometrics, integrating specific research with aspects of
outreach into practice, policy and
supporting activities, the individual elements combining to contribute to
overall impact.
The breadth and interdisciplinarity of biometrics has meant that
contributions to our research have
encompassed not only explicitly identifiable work central to the field
(for example, work on face,
signature/handwriting and iris modalities) but also related supporting
work (in handwriting analysis
for medical diagnostics, forensics, handwritten document analysis, etc).
We have investigated the
functionality and applicability of some of the principal biometric
modalities (both physiological and
behavioural). In face recognition we have examined facial image capture
under challenging
environmental conditions, explored the relationship between 2-D and 3-D
facial imaging and the
fundamental implications for practical access control and have developed
techniques for facial
composite construction and identification based on the cognitive processes
of human observers
[2]. In iris recognition we have investigated the implications of ageing
on performance and how to
manage template construction, developed strategies for measuring iris
image quality and for iris
capture under unconstrained conditions (including mobile platforms) and
carried out some
underpinning work on evidential synthesis. In handwriting biometrics we
have developed improved
identification structures using multisource combination, shown how
signature biometrics can be
transformed from a "weak" to a "strong" biometric using appropriate
supplementary input and
carried out fundamental work to show how feature selection can both
individualise optimisation
strategies and minimise inter-database effects on performance metrics and
system evaluation [6].
We have shown how forensic inspection techniques and automatic signature
verification can be
mutually supportive in relation to feature extraction processes and
provision of support tools. At a
systems-oriented level we have developed classifier structures based on
intelligent agent
methodologies which are generically applicable but especially well-suited
to biometric data
processing and which can very effectively integrate soft biometrics and
other evidence sources to
enhance performance [5]. We have pioneered (now patented, 8165289,
8401184) research linking
encryption to personal biometric data, removing the need for key storage,
increasing usability and
enhancing privacy options and have extended this work to the
identification and protection of
hardware devices and software processes [3]. We have contributed
extensively to the development
of biometric standards, building on our mainstream technology-oriented
research and the breadth
of our research to understand how to specify standards which are
acceptable, workable and
optimal [1,4]. Fairhurst is the founding Editor of IET Biometrics
Journal, encompassing both the
industrial context of biometrics and promotion of standards in biometrics,
bridging the research-
industry interface internationally.
This work has been funded by the EPSRC, EU programmes, TSB, Centre for
Defence Enterprise
(CDE), industry including InMezzo, Smart Sensors, BAE Systems and
agencies, such as DSTL,
National Policing Improvement Agency (NPIA), Her Majesty's Government
Communications
Centre (HMGCC) and the Home Office (The Identity and Passport Service).
Some examples,
illustrative of the range and type of our research outputs, are referenced
below. The total value of
funding received for the underpining research since 2004 exceeded £3.3m.
References to the research
References to the key outputs (references [1]*, [2]* and [6]* best
indicate the quality of the
underpinning research):
[1]* R. Veldhuis and F. Deravi, Q. Tao, "Multibiometrics for face
recognition", IT-Sicherheit &
Datenschutz (now Datenschutz und Datensicherheit), vol.32, no.3,
pp.204-214, 2008. DOI:
10.1007/s11623-008-0033-8. This paper underpins seminal and continuing
contributions to
standards on multibiometrics.
[2]* S.J. Gibson, C.J. Solomon, A. Pallares-Bejarano, "Synthesis
of photographic quality facial
composites using evolutionary algorithms", British Machine Vision
Conference 2003 (Eds.
Harvey, Bangham), vol.1, pp.221-230, 2003. DOI: 10.5244/C.17.23. The
original paper (others
also contributed) which led to the ultimate development of the
commercial EFIT/EFIT-V system.
This output was returned by Solomon in RAE2008.
[3] (i) A method and apparatus for the generation of code from pattern
features, UK Patent
Application GB 06 13482.9, filed July 2006, PCT application
PCT/GB2007/002471 filed July
2007 (Howells, Fairhurst. Deravi), Pat. No. 8165289 and (ii) A
device to generate a machine
specific identification key, UK Patent Application GB 0615392.8, filed
August 2006 (Howells),
PCT application PCT/GB2007/002916, filed August 2007, Pat. No. 8401184. These
patents (i)
underpin our work on biometrics-mediated encryption and (ii) the
corresponding patent relating
to hardware-based identification.
[4] R.M. Guest (Co-editor), ISO/IEC 19794-7: 2007
Information technology — Biometric data
interchange formats — Part 7 — Signature/sign time series data
http://www.iso.org/iso/catalogue_detail.htm?csnumber=38751.
The standard which has seen
take-up in a wide range of public and private organisations.
[5] M.C. Fairhurst, M. Abreu, "Enhancing identity prediction
using a novel approach to combining
hard- and soft-biometric information", IEEE Transactions on Systems, Man
and Cybernetics,
Part C, vol.41, no.5, pp.599-607, 2011. DOI: 10.1109/TSMCC.2010.2056920. A
paper
illustrative of the power of our generic intelligent-agent approach to
classifier design in
biometrics applications. This paper is submitted by Fairhurst
to REF 2014.
[6]* M.C. Fairhurst, M. Erbilek, "Analysis of physical ageing
effects in iris biometrics", IET
Computer Vision, vol.5, no.6, pp.358-366, 2011. DOI:
10.1049/iet-cvi.2010.0165. A paper,
returned by Fairhurst in REF 2014, provides some
fundamental new insights into how ageing
impacts on the long-term use of iris biometrics. This was a key
publication which led to the
production of the first reference book (Edited by Fairhurst) to address
a wider understanding of
the crucial issue of ageing in biometric systems, now widely recognised
as essential for future
success of practical systems, bringing together contributions from major
international
researchers from academia and industry.
Key supporting grants:
Fairhurst, Novel image analysis techniques for enhanced automatic
signature verification, EPSRC,
GR/K76931, £155,412, 1997-1999.
Fairhurst, Novel multiple expert classifiers for handwritten data
analysis, EPSRC, GR/M95882,
£179,265, 2000-2003.
Fairhurst, Deravi, Howells, Enhancing trust and reliability in
distributed documents, EPSRC,
GR/N37803, £174,439, 2000-2003.
Deravi, Fairhurst, Intelligent agents for multimodal biometric
identification and control, EPSRC/DTI
LINK Grant, GR/N09732/01, £206,661, 2000 - 2003.
Deravi, Fairhurst: FINGER_CARD, EU_IST_Programme, Ref: 25168,
183,618 Euros, 2001-2003.
Howells: Evolvable Networks of Intelligent and Secure Integrated and
Distributed Reconfigurable
System-On-Chip Sensor Nodes for Aerospace Based Monitoring and
Diagnostics, EPSRC
(Joint award Kent/Essex), EP/C54630X, £132,009 to Kent, 2005-2008.
Deravi: 3DFACE, EU_ICT_Programme, Ref: 026845, £303,234,
2006-2009.
Howells, Fairhurst: SmartCare Caller ID, Technology Strategy Board,
130340, £49,947, 2010-2011,
collaboration with InMezzo Ltd.
Details of the impact
The demonstrable impact of our research falls into three interrelated
strands:
(A) Direct technology impact: In face biometrics, via company
spinout (VisionMetric) our face
modelling has spawned a highly successful commercial product (EFIT-V),
enabling victims of crime
to create near-photographic quality facial likenesses from memory,
assisting hundreds of serious
crime investigations. EFIT-V is used by more than 85% of Britain's Police
Forces [S1] and is
deployed in over 30 countries, with a client base of around 200
organisations. Since its release in
early 2008, licensees have seen increases of more than 100% in useful
intelligence (as reported in
the Investigative Practice Journal of Police Professionals, the largest
circulation police weekly). An
extended study of its performance in the field involving more than 1000
interviews resulted in an
exceptional 40% naming rate (Driver and Rowbotham, E-FIT user conference
2009). Construction
is also up to 100% quicker than for traditional, feature-based systems.
The system has not only
been pivotal in fundamentally changing the means by which facial
composites are created but has
proven to be of major social value. Our work on biometric access
monitoring supports the integration
of dual biometrics into the SmartCare telehealth platform marketed by
InMezzo Ltd [S2],
establishing the engineering parameters required for implementing/managing
biometric security on
generalised hardware platforms and providing additional customer features.
Kent's iris biometrics
research has had impact in two areas. First, in collaboration with Smart
Sensors Ltd, we have
developed a flexible imaging system which allows easy iris image capture
at multiple gaze angles
and differing illumination conditions. This coupled with the training
strategy optimisation process for
unconstrained image capture which has thereby been facilitated, is helping
the company develop
its next generation iris recognition systems [S3]. Second, we have
researched the way in which
physiological ageing influences iris image processing, and how this
affects template management.
This and parallel work using the handwritten signature modality has made
an important
contribution to the growing body of work urgently needed on understanding
ageing effects in
biometrics, leading to the commissioning of the first reference book
(appearing in 2013) on this
subject [S4], edited by Fairhurst, representing a state-of-the-art
benchmark essential to promoting
longevity for practical biometrics solutions. Work on pressure profile
dynamics in signature
biometrics (Fairhurst) has been taken up by Wacom, an international market
leader in digitising
graphics tablet manufacture, in a redesign of products (notably their
current Intuos and STU-
signature tablets; in excess of 100,000 signature pads are sold per year)
extending their reach into
biometrics/forensic applications [S5]. Our work on novel classifier
structures has informed
fundamental biometric landscape reports for DSTL, HMGCC and BAE Systems
and is at the heart
of work with Accenture (Fairhurst, Guest) to develop new client-facing
technologies [S6]. In
implementing privacy enhancing technologies, work on biometrics-mediated
encryption (Howells,
Fairhurst, Deravi) has impacted directly on the InMezzo Ltd development
(above), and has
extended to system development for DSTL. It is protected by patent
PCT/GB2007/002471 and has
driven the spinout of a new company (Metrarc).
(B) Standards and systems. We play an influential role in the
international standards
development process. The International Organization for Standardization
(ISO) is the world's
largest developer of International Standards and the International
Electrotechnical Commission
(IEC) serves world markets and society through its standardization and
conformity assessment
work. Standards give state-of-the-art specifications for products,
services and good practice,
making industry efficient and effective and facilitating globalisation.
Guest is UK Principal Expert to
ISO/IEC JTC1 SC37 WG2 Biometric Technical Interfaces and played a major
part in developing
published ISO/IEC standards (for example ISO/IEC 19794-7 and 29109-7 for
dynamic signatures).
These are now adopted by numerous international Banks and other
organisations (for example,
Barclays, Bank of America, UPS, Interpol) as the de facto data
interchange formats for biometric
signatures [S7]. This work has also developed standards for the most
commonly used
programming structure supporting cross-manufacturer device interfacing,
the Biometric Application
Programming Interface (BioAPI). Deravi is UK Principal Expert to ISO/IEC
JTC1 SC37 WG3 and
was instrumental to work on ISO/IEC 24722:2007 on for multibiometric
fusion. His work on
International Standard ISO/IEC 19794-5 (Face Data Format) has contributed
to the relaxation of
image capture constraints for UK Passports and influenced accepted
standards for image
acquisition for e-passports and other access control applications
worldwide.
(C) Wider influence. We have made a significant impact on public
policy, practitioners and
professional services. We have provided advice to Government across all
its biometrics-related
activities, ranging from technology implementation to ethical and privacy
issues [S8] through
membership of the Biometrics Assurance Group (Fairhurst), the Home Office
Biometrics Experts
Group (Fairhurst) and the broader Biometrics Working Group (Deravi,
Fairhurst) and we have
undertaken data collection and analysis for the National Policing
Improvement Agency (NPIA) to
inform Police face image capture (Deravi, Fairhurst). We have represented
the academic
community on several Government-sponsored, industry-oriented Missions -
for example to the US
(Fairhurst), Japan (Fairhurst), China (Howells), providing important
international market intelligence
and specific information to inform UK biometrics industry development.
Deravi has spearheaded
the formation of the BioSecure Association, a research charity
disseminating biometrics
databases/tools, ensuring a legacy from the EU BioSecure Network of
Excellence. Fairhurst is a
member of the international committee overseeing the IEEE Certified
Biometrics Professional
programme, offering opportunities for practising biometrics professionals
to have their skills
internationally recognised [S9]. These examples demonstrate the
significant impact of the Kent
Group on the wider biometrics community, a major influence on policy and
practice development,
and extensive support of professionalisation activities.
Sources to corroborate the impact
S1. Police Sergeant, Crime Performance and Strategy Unit, Wiltshire
Police will confirm the value
and impact of the adoption of the EFIT system in the UK.
S2. Head of Business Development, InMezzo Ltd will confirm the impact
value of the development
of biometrics-based control for implementation on a commercial hardware
platform.
S3. CEO, Smart Sensors Ltd will confirm the value of the work on new iris
image capture and the
development of enhanced enrolment strategies to increase the flexibility
of emerging iris
recognition systems.
S4. Commissioning Editor IET will confirm details of the new benchmark
reference text and its
importance in promoting practical implementation of biometric systems for
long term use.
S5. Director Global Signature Solutions, Wacom Europe will confirm the
impact of Kent's work on
the on-going update of their writing capture tablet designs.
S6. Her Majesty's Government Communications Centre (HMGCC), will confirm
the influence of
Kent's work on development of future R&D policies.
S7. Head of Product Management, Softpro GmbH will confirm the extent and
nature of the impact
of Kent's work on standards in the area of handwriting and signature.
S8. Private Consultant (ex-British Technology Group) will confirm the way
in which Kent's
contribution has impacted on the work of the Biometrics Assurance Group in
developing and
monitoring Government planning of all Government programmes using
biometrics.
S9. Director, Certification, IEEE will confirm details of the work
relating to the IEEE CBP
programme.