Michael Fairhurst

Cheng Li, Michael Fairhurst, Meryem Erbilek, 2014, 2014 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings.

Goal seeking neural network architectures for image classification applications

Michael Fairhurst, D. L. Bisset, A. de Carvalho, 1992 .

Integrated Boolean neural networks for feature extraction and image classification

Michael Fairhurst, D. L. Bisset, A. de Carvalho, 1992 .

Clifford networks: novel neural architectures for multidimensional data

Michael Fairhurst, D. L. Bisset, Gareth Howells, 1997 .

A Novel Scheme for Implementation of the Scanning nTuple Classifier in a Constrained Environment

Michael Fairhurst, Sanaul Hoque, 2006 .

A Comparative Performance Evaluation of the RePart Neuro-Fuzzy Network

Anne M. P. Canuto, Michael Fairhurst, Gareth Howells, 1999 .

Ductility Estimation for a Novel Timber–Steel Hybrid System

Michael Fairhurst, Xiaoyue Zhang, Thomas Tannert, 2016 .

An Ensemble-Based PCA Model for Medical Diagnosis

Michael Fairhurst, Konstantinos Sirlantzis, Samuel Chindaro, 2006 .

Combining two boolean neural networks for image classification

Michael Fairhurst, André C. P. L. F. de Carvalho, D. L. Bisset, 1998 .

Use of genetic algorithms for optimizing a decision fusion framework

Fuad Rahman, Michael Fairhurst, Hassan Alam, 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

3. Making biometrics work

Michael Fairhurst, 2018 .

Using age to enhance performance in biometrics

Michael Fairhurst, Marjory Da Costa-Abreu, 2013 .

Building multiple prototype classifiers for handwritten character recognition using automatic statistical clustering techniques

Ahmad Fuad Rezaur Rahman, Michael Fairhurst, 1997 .

4. Enhancing biometric processing

Michael Fairhurst, 2018 .

Sequence recognition with an adaptive-logic network

Michael Fairhurst, I. Aleksander, 1974 .

Biometric Writer Identification Based on the Interdependency Between Static and Dynamic Features of Handwriting

Michael Fairhurst, J. Chapran, 2006 .

Computer assessment of line drawing in visual neglect

Michael Fairhurst, Nick Donnelly, Richard Guest, 2000 .

Improving forgery detection in off-line forensic signature processing

Michael Fairhurst, Márjory Abreu, 2009, ICDP.

Traffic-Light-Labeling on Restaurant Menus: A Call for the Communication of Nutrition Information Through Color-Coded Text

Michael Fairhurst, 2012 .

A novel multiple-expert approach to the recognition of handwritten words extracted from British cheques

Stavros Paschalakis, Ahmad Fuad Rezaur Rahman, Michael Fairhurst, 1999 .

2. Biometrics: where should I start?

Michael Fairhurst, 2018 .

SAGENT: A Model for Exploiting Biometric-Based Security for Distributed Multimedia Documents

Farzin Deravi, Michael Fairhurst, Sanaul Hoque, 2005 .

Future trends in biometric processing [Editorial]

Julian Fierrez, Michael Fairhurst, Patrizio Campisi, 2011 .

Information security : foundations, technologies and applications

Ali Ismail Awad, Michael Fairhurst, Neil Yen, 2018 .

Method for the Direct Generation of Encryption Keys from Biometric Data Samples

Farzin Deravi, Michael Fairhurst, Gareth Howells, 2006 .

Image classification using an integrated neural architecture based on boolean nodes

Michael Fairhurst, André C. P. L. F. de Carvalho, D. L. Bisset, 1995 .

Enhanced reliability of multilayer perceptron networks through controlled pattern rejection

Germano C. Vasconcelos, Michael Fairhurst, D. L. Bisset, 1993 .

Classifying images using goal-seeking neural network architectures

Michael Fairhurst, D. L. Bisset, A. de Carvalho, 1993 .

Approach to performance optimisation in frequency-weighted memory network pattern classifiers

Michael Fairhurst, H. M. S. Abdel Wahab, 1987 .

Network Combination Strategies for a Hybrid Neuro-Fuzzy Multi-Expert System

Anne M. P. Canuto, Michael Fairhurst, Gareth Howells, 2000 .

Strategies for exploiting signature verification based on complexity estimates

Michael Fairhurst, Eleni Kaplani, 2002 .

Novel rule-based static and dynamic feature extraction from figure copying tasks for the detection of visuo-spatial neglect

Michael Fairhurst, Jonathan Potter, Richard Guest, 2004 .

Clifford Network: A Novel Application in Character Recognition

Ahmad Fuad Rezaur Rahman, Michael Fairhurst, Gareth Howells, 1999 .

Investigating the recognition of false patterns in backpropagation networks

Germano C. Vasconcelos, Michael Fairhurst, D. L. Bisset, 1993 .

A Computer-Learning Model using Hand-Drawn Images for the Assessment of Visuo-Spatial Neglect

Michael Fairhurst, Yiqing Liang, Jonathan Potter, 2009 .

Intelligent Assessment of Drawing Task Execution for Behavioural Analysis in Dyspraxia

Michael Fairhurst, Sanaul Hoque, Mohammad A. Razian, 2004 .

5. Predictive biometrics

Michael Fairhurst, 2018 .

Automatic self-configuration of a novel multiple-expert classifier using a genetic algorithm

Ahmad Fuad Rezaur Rahman, Michael Fairhurst, 1999 .

Economical associative storage with universal sequential logic networks

Michael Fairhurst, 1976 .

An Ensemble-Based PCA Model for Recognition of Handwritten Numerals

Michael Fairhurst, Konstantinos Sirlantzis, Samuel Chindaro, 2006 .

Implementation of boolean neural networks on parallel computers

Michael Fairhurst, André C. P. L. F. de Carvalho, D. L. Bisset, 1996 .

Exploiting Diversity in Colour Representations for Ensemble-Based Texture Recognition

Michael Fairhurst, Konstantinos Sirlantzis, Jonathan Potter, 2004 .

A Framework for Reasoning about RAM-based Neural Networks for Image Analysis Applications

Michael Fairhurst, D. L. Bisset, Gareth Howells, 1998 .

Investigating Off-Angle Iris Recognition in Unconstrained Acquisition

Michael Fairhurst, Richard Bonner, 2016 .

Trainable PCA Sub-Space Linear Combiner

Michael Fairhurst, Konstantinos Sirlantzis, Samuel Chindaro, 2006 .

Analysis of physical ageing effects in iris biometrics

Michael Fairhurst, Meryem Erbilek, M. Fairhurst, 2011 .

A New Paradigm for RAM-based Neural Networks

Michael Fairhurst, D. L. Bisset, Gareth Howells, 1998 .

Adaptive User Agents for Intelligent Biometric Applications

Farzin Deravi, Michael Fairhurst, Nick Mavity, 2004 .

Pattern processing and stability criteria in cellular logic networks

Michael Fairhurst, G. P. Goutos, 1980 .

Biometrics and ID Management

Jana Dittmann, Claus Vielhauer, Michael Fairhurst, 2011, Lecture Notes in Computer Science.

Progressive learning algorithm for GSN feedforward neural architectures

Michael Fairhurst, D. L. Bisset, A. de Carvalho, 1994 .

An analysis of self-organising networks based on goal-seeking neurons

Michael Fairhurst, D. L. Bisset, A. de Carvalho, 1991 .

Exploiting second order information to design a novel multiple expert decision combination platform for pattern classification

Ahmad Fuad Rezaur Rahman, Michael Fairhurst, M. Fairhurst, 1997 .

Promoting Inclusively in Security through Biometrics - State of the Art Report

Jana Dittmann, Michael Fairhurst, Tobias Scheidat, 2006 .

Advances in Digital Handwritten Signature Processing: A Human Artefact for e-Society

Michael Fairhurst, Giuseppe Pirlo, Donato Impedovo, 2014 .

Performance-Based Retrofit of School Buildings in British Columbia, Canada: An Update

Michael Fairhurst, Carlos E. Ventura, Graham Taylor, 2015 .

Investigating the Effect of Writer Style, Age and Gender on Natural Revocability Analysis in Handwritten Signature Biometric

Michael Fairhurst, Tasmina Islam, M. Fairhurst, 2019, 2019 Eighth International Conference on Emerging Security Technologies (EST).

Assessing image characteristics for user feedback in biometric fingerprint identity verification tasks

Michael Fairhurst, C. McIntosh, 2005 .

Pattern learning in humans and electronic learning nets

Michael Fairhurst, I. Aleksander, 1970 .

A parallel approach to individually optimised handwritten signature verification

Michael Fairhurst, P. Brittan, M. Fairhurst, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.

Evaluating Biometric Encryption Key Generation

Farzin Deravi, Michael Fairhurst, Sanaul Hoque, 2005 .

A Method for the Synthesis of Dynamic Biometric Signature Data

Michael Fairhurst, Richard Guest, C. Rabasse, 2007 .

Interactive two-dimensional image analysis in the assessment of visual-motor integration through figure copying

Michael Fairhurst, N. Higson, 1996 .

Interactive support for evaluation of visual motor integration using geometric figure copying tasks

Michael Fairhurst, N. Higson, 1995 .

GCN: the generalised convergent network

Michael Fairhurst, D. L. Bisset, Gareth Howells, 1995 .

Architectures for Goal-Seeking Neurons

Michael Fairhurst, E.C.D.B.C. Filho, D. L. Bisset, 1992 .

A Goal Seeking Neuron for Boolean Neural Networks

Michael Fairhurst, D. L. Bisset, E.C.D.B.C. Filho, 1990 .

Diagnostic Assistance Through Quantisational Sequence Analysis

Michael Fairhurst, Richard Guest, M. Fairhurst, 2007 .

Towards an Inferred Data Accuracy Assessment of Forensic Examination Methodologies for Signatures

Michael Fairhurst, Richard Guest, A. Linnell, 2009 .

Road Detection and Tracking using Multiple Condensation Trackers

Li Bai, Yan Wang, Michael Fairhurst, 2007 .

Dynamic analysis of the FFTT system

Michael Fairhurst, 2014 .

Sample Selection for Optimising Signature Enrolment

Michael Fairhurst, Richard Guest, 2006 .

An Intelligent Solution to the Multiple Classifer Systems Design Problem

Michael Fairhurst, Konstantinos Sirlantzis, 2001 .

Towards the development of user tools for knowledge acquisition in digital document analysis

Michael Fairhurst, Meryem Erbilek, 2014 .

High performance classifier architectures for binary image processing

Michael Fairhurst, P. Brittan, 1991 .

Efficient performance‐based design using parallel and cloud computing

Michael Fairhurst, Carlos E. Ventura, Armin Bebamzadeh, 2015 .

Moving window classifier: approach to off-line image recognition

Michael Fairhurst, M. S. Hoque, 2000 .

A comparative study of decision combination strategies for a novel multiple-expert classifier

Ahmad Fuad Rezaur Rahman, Michael Fairhurst, 1997 .

Binary Image Enhancement by Segmentation Analysis

Michael Fairhurst, Gareth Howells, C. Allgrove, 1997 .

A technique for estimating handwritten signature complexity based on human perceptual criteria

Michael Fairhurst, Eleni Kaplani, 2002 .

High speed image classification using transputer arrays

Michael Fairhurst, P. Brittan, 1990 .

A Memetic Algorithm for Simultaneously Clustering and Feature Selection

Weiguo Sheng, Xiaohui Liu, Michael Fairhurst, 2008 .

Balancing performance factors in multisource biometric processing platforms

Michael Fairhurst, Márjory Abreu, Márjory Da Costa-Abreu, 2009 .

Report on User-Interface Functionalities and Impact on Performance

Farzin Deravi, Michael Fairhurst, Richard Guest, 2006 .

Neural Networks for Control and Systems

Michael Fairhurst, 1992 .

Feature selection in automatic signature verification

Michael Fairhurst, P. Brittan, 1994 .

A Novel Approach to Quantifying Risk in Biometric Systems Performance

Michael Fairhurst, Sanaul Hoque, A. Osoka, 2007 .

Inverse pointer unboxing

Michael Fairhurst, 2017 .

Real-time, non-invasive detection of His-Purkinje system electrograms on a beat-to-beat basis

Michael Fairhurst, M. C. Kwok, D. J. E. Taylor, 1989 .

Improved Data Security using Template-Free Biometric based Encryption

Farzin Deravi, Michael Fairhurst, Gareth Howells, 2006 .

Evaluating iris segmentation for scenario optimisation

Michael Fairhurst, Meryem Erbilek, 2011, ICDP.

Generalised approach to the recognition of structurally similar handwritten characters using multiple expert classifiers

Ahmad Fuad Rezaur Rahman, Michael Fairhurst, M. Fairhurst, 1997 .

Comparative study of two different multiple-expert architectures for robust object recognition

Michael Fairhurst, A. Fuad R. Rahman, 1997, Other Conferences.

Biometrics and ID Management: COST 2101 European Workshop, BioID 2011

Jana Dittmann, Michael Fairhurst, Niels Christian Juul, 2011 .

BCN: an architecture for weightless RAM-based neural networks

Michael Fairhurst, D. L. Bisset, Gareth Howells, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Natural pattern clustering in digital learning nets

Michael Fairhurst, I. Aleksander, 1971 .

Signature verification revisited: promoting practical exploitation of biometric technology

Michael Fairhurst, M. Fairhurst, 1997 .

Microcomputer-Assisted Analysis of Audiological Test Data

Michael Fairhurst, Stephen L. Smith, Stephen W. Kelly, 1988 .

The guard unit approach for rejecting patterns from untrained classes

Germano C. Vasconcelos, Michael Fairhurst, D. L. Bisset, 1993 .

Extraction of diagnostic information from hand drawn images for the assessment of visuo-spatial neglect

Michael Fairhurst, Nick Donnelly, Richard Guest, 1999 .

Analysis of saturation problem in RAM-based neural networks

Michael Fairhurst, D. L. Bisset, E.C.D.B.C. Filho, 1992 .

A Modelled Classification Approach to the Automatic Analysis of Hand Drawn Neuropsychological Tests

Michael Fairhurst, Arkadiusz Stasiak, Richard Guest, 2008 .

Multi-prototype classification: improved modelling of the variability of handwritten data using statistical clustering algorithms

Ahmad Fuad Rezaur Rahman, Michael Fairhurst, M. Fairhurst, 1997 .

Intelligent Chain-Code Quantization for Multiple Classifier-Based Shape Recognition

Michael Fairhurst, Konstantinos Sirlantzis, Sanaul Hoque, 2002 .

Novel RAM-based neural networks for object recognition

Michael Fairhurst, D. L. Bisset, Gareth Howells, 1996, Other Conferences.

Optimisation procedures for diagnostic processing of hand-drawn geometric figures

Michael Fairhurst, Richard Guest, Samuel Chindaro, 2003 .

Training Algorithms for GSNf Neural Networks

Michael Fairhurst, D. L. Bisset, A. de Carvalho, 1997 .

Assessing Behavioural Characteristics of Dyspraxia through on-line Drawing Analaysis

Michael Fairhurst, Sanaul Hoque, T. J. Boyle, 2005 .

Just sign on the dotted line...

Michael Fairhurst, 1991 .

Editorial: Image processing and its applications

Michael Fairhurst, 1990 .

New multiexpert architecture for high-performance object recognition

Michael Fairhurst, A. Fuad R. Rahman, 1996, Other Conferences.

Perceptual Analysis of Handwritten Signatures for Biometric Authentication

Michael Fairhurst, Eleni Kaplani, E. Kaplani, 2003 .

Classifier Diversity Estimation in a Multiclassifier Face Recognition System based on Binary Feature Quantisation

Michael Fairhurst, Konstantinos Sirlantzis, Sanaul Hoque, 2002 .

Enhancing multiple expert decision combination strategies through exploitation of a priori information sources

Ahmad Fuad Rezaur Rahman, Michael Fairhurst, 1999 .

Improving ellipse detection using a fast graphical method

Michael Fairhurst, O. M. Elmowafy, M. Fairhurst, 1999 .

Novel neural architectures for recognition of handwritten characters

Michael Fairhurst, D. L. Bisset, Gareth Howells, 1996 .

Enhancing multi-neural systems through the use of hybrid structures

Anne M. P. Canuto, Michael Fairhurst, Gareth Howells, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Using Genetic Algorithms for Intelligent Optimisation of Multiple Classifier Systems in Complex Data Domains

Michael Fairhurst, Konstantinos Sirlantzis, 2002 .

ICA-based multi-colour space texture classification system

Michael Fairhurst, Konstantinos Sirlantzis, Samuel Chindaro, 2006 .

Academia and industry collaboration to drive biometrics boom

Michael Fairhurst, 2013 .

Wordlength estimation for the enhancement of hand-written word recognition

Stavros Paschalakis, Michael Fairhurst, C. Allgrove, 1999 .

Improved Screening of Developmental Dyspraxia using On-Line Image Analysis

Michael Fairhurst, Sanaul Hoque, Mohammad A. Razian, 2004 .

Analysis of ageing effects in biometric systems: difficulties and limitations

Michael Fairhurst, Meryem Erbilek, 2013 .

Evaluating classification strategies for detection of circumscribed masses in digital mammograms

Farzin Deravi, Michael Fairhurst, A. S. Constantinidis, 1999 .

Assessing visual inattention: study of inter-rater reliability

Michael Fairhurst, Richard Guest, G. Gower, 2003 .

Using image analysis techniques to analyze figure-copying performance of patients with visuospatial neglect and control groups

Michael Fairhurst, Nick Donnelly, Richard Guest, 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

Improved approach to boundary location in two-dimensional echocardiographic images

Michael Fairhurst, Evandro Eduardo Seron Ruiz, 1995 .

Component based feature space partition and combination in multiple colour spaces for texture classification

Michael Fairhurst, Konstantinos Sirlantzis, Samuel Chindaro, 2005 .

Inter-rater reliability in the Rivermead Behavioural Inattention Test

Michael Fairhurst, Nick Donnelly, Richard Guest, 1999 .

Evaluation of a two-stage model for detection of abnormalities in digital mammograms

Michael Fairhurst, M. Hanson, C. P. Wells, 1996 .

Detection of circumscribed masses in digital mammograms using behaviour-knowledge space method

Michael Fairhurst, A. S. Constantinidis, Ahmad Fuad Rezaur Rahman, 2000 .