Michael C. Fairhurst

发表

A multiexpert framework for character recognition: a novel application of Clifford networks

Fuad Rahman, W. Gareth J. Howells, Michael C. Fairhurst, 2001, IEEE Trans. Neural Networks.

Novel approaches to optimized self-configuration in high performance multiple-expert classifiers

Fuad Rahman, Michael C. Fairhurst, Sanaul Hoque, 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

Parallel multi-layer classifier architectures of increasing hierarchical order

Michael C. Fairhurst, K. D. Cowley, 1993, Pattern Recognit. Lett..

Exploring gender prediction from digital handwriting

Cheng Li, Michael C. Fairhurst, Meryem Erbilek, 2016, 2016 24th Signal Processing and Communication Application Conference (SIU).

Face Recognition using the Moving Window Classifier

Michael C. Fairhurst, M. S. Hoque, 2000, BMVC.

A Method for the Synthesis of Dynamic Biometric Signature Data

Michael C. Fairhurst, Richard M. Guest, Cedric Rabasse, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Parallelism in dynamic time warping for automatic signature verification

Michael C. Fairhurst, Y. J. Bae, 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

A Novel Confidence-Based Framework for Multiple Expert Decision Fusion

Fuad Rahman, Michael C. Fairhurst, 1998, BMVC.

Biometrics and Universal Access

Michael C. Fairhurst, 2009, The Universal Access Handbook.

Enhancing Performance of Cancellable Fingerprint Biometrics Using Classifier Ensembles

Anne M. P. Canuto, Michael C. Fairhurst, Fernando Pintro, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.

An Enhanced Linear Model Edge Detector

Michael C. Fairhurst, M. H. A. Assal, E. Horne, 1988, Pattern Recognition.

Modulating population granularity for improved diagnosis of developmental dyspraxia from dynamic drawing analysis

Michael C. Fairhurst, Sanaul Hoque, Mohamed A. Razian, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Multiple classifier decision combination strategies for character recognition: A review

Fuad Rahman, Michael C. Fairhurst, M. Fairhurst, 2003, Document Analysis and Recognition.

Computer vision for robotic systems - an introduction

Michael C. Fairhurst, 1988 .

Template-Free Biometric-Key Generation by Means of Fuzzy Genetic Clustering

Weiguo Sheng, W. Gareth J. Howells, Michael C. Fairhurst, 2008, IEEE Transactions on Information Forensics and Security.

Automated extraction of image segments from clinically diagnostic hand-drawn geometric shapes

Michael C. Fairhurst, Richard M. Guest, Jonathan M. Potter, 2000, Proceedings of the 26th Euromicro Conference. EUROMICRO 2000. Informatics: Inventing the Future.

Computer analysis of handwriting dynamics during dopamimetic tests in Parkinson's disease

Michael C. Fairhurst, W. G. K. Cobbah, M. Fairhurst, 2000, Proceedings of the 26th Euromicro Conference. EUROMICRO 2000. Informatics: Inventing the Future.

Stabilisation of error-rate performance in frequency-weighted memory network pattern classifiers

Michael C. Fairhurst, H. M. S. Abdel Wahab, 1989, Pattern Recognit. Lett..

Introducing an approach for writer recognition based on the i -vector paradigm

Michael C. Fairhurst, Carmen García-Mateo, Francisco Troncoso-Pastoriza, 2017, IET Biom..

Natural Revocability in Handwritten Signatures to Enhance Biometric Security

Michael C. Fairhurst, Tasmina Islam, M. Fairhurst, 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

A genetic algorithm for fingerprint matching based on an integrated measure

Weiguo Sheng, W. Gareth J. Howells, Michael C. Fairhurst, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Assessing Visuo-Spatial Neglect Through Feature Selection From Shape Drawing Performance And Sequence Analysis

Michael C. Fairhurst, Richard M. Guest, Samuel Chindaro, 2004, Int. J. Pattern Recognit. Artif. Intell..

Enhancing Identity Prediction Using a Novel Approach to Combining Hard- and Soft-Biometric Information

Michael C. Fairhurst, Marjory C. C. Abreu, Márjory Da Costa-Abreu, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

On the Use of I-Divergence for Generating Distribution Approximations

Michael C. Fairhurst, M. A. G. Mattoso Maia, 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Special issue on multiple classifiers for document analysis applications

Fuad Rahman, Michael C. Fairhurst, 2003, Document Analysis and Recognition.

Analyzing the Benefits of a Novel Multiagent Approach in a Multimodal Biometrics Identification Task

Michael C. Fairhurst, Marjory C. C. Abreu, Márjory Da Costa-Abreu, 2009, IEEE Systems Journal.

Ensemble-Based Methods for Cancellable Biometrics

Anne M. P. Canuto, Michael C. Fairhurst, Laura Emmanuella A. Santana, 2010, ICANN.

BCN: A novel network architecture for RAM-based neurons

W. Gareth J. Howells, Michael C. Fairhurst, David L. Bisset, 1995, Pattern Recognit. Lett..

Classifier Ensemble Generation for the Majority Vote Rule

Michael C. Fairhurst, Carlos Orrite-Uruñuela, Mario Rodríguez, 2008, CIARP.

Matching structural and implementational models in the specification of image classifiers

Michael C. Fairhurst, H. M. S. Abdel Wahab, Paul Brittan, 1991, Pattern Recognit..

Investigating feedforward neural networks with respect to the rejection of spurious patterns

Germano C. Vasconcelos, Michael C. Fairhurst, David L. Bisset, 1995, Pattern Recognit. Lett..

Effect of Dynamic Features on Diagnostic Testing for Dyspraxia

Michael C. Fairhurst, Sanaul Hoque, Mohamed A. Razian, 2004, ICCHP.

Multiple Condensation filters for road detection and tracking

Li Bai, Yan Wang, Michael C. Fairhurst, 2010, Pattern Analysis and Applications.

Machine-printed character recognition revisited: re-application of recent advances in handwritten character recognition research

Fuad Rahman, Michael C. Fairhurst, 1998, Image Vis. Comput..

Investigating an objective measure of writer hesitation for forensic analysis of the handwritten signature

Michael C. Fairhurst, Tasmina Islam, 2016, 2016 4th International Conference on Biometrics and Forensics (IWBF).

Evaluating Biometric Encryption Key Generation Using Handwritten Signatures

W. Gareth J. Howells, Michael C. Fairhurst, Sanaul Hoque, 2008, 2008 Bio-inspired, Learning and Intelligent Systems for Security.

Classifier ensembles and optimization techniques to improve the performance of cancellable fingerprint

Anne M. P. Canuto, Michael C. Fairhurst, João Carlos Xavier, 2011, Int. J. Hybrid Intell. Syst..

Towards Universal Access Through Automated Assessment of Defined Clinical Populations

Michael C. Fairhurst, Sanaul Hoque, Mohamed A. Razian, 2004, User Interfaces for All.

A Memetic Fingerprint Matching Algorithm

Weiguo Sheng, W. Gareth J. Howells, Michael C. Fairhurst, 2007, IEEE Transactions on Information Forensics and Security.

Trainable Multiple Classifier Schemes for Handwritten Character Recognition

Michael C. Fairhurst, Konstantinos Sirlantzis, Sanaul Hoque, 2002, Multiple Classifier Systems.

Modelling Multiple-Classifier Relationships Using Bayesian Belief Networks

Michael C. Fairhurst, Konstantinos Sirlantzis, Samuel Chindaro, 2007, MCS.

Introducing New Multiple Expert Decision Combination Topologies: A Case Study using Recognition of Handwritten Characters

Fuad Rahman, Michael C. Fairhurst, 1997, ICDAR.

An Investigation of the Effects of Variable Vigilance within the RePART Neuro-Fuzzy Network

Anne M. P. Canuto, W. Gareth J. Howells, Michael C. Fairhurst, 2000, J. Intell. Robotic Syst..

New perspectives in automatic signature verification

Michael C. Fairhurst, 1998, Inf. Secur. Tech. Rep..

A clustering approach to corner point analysis in hand drawn images

Michael C. Fairhurst, Richard M. Guest, M. Fairhurst, 2002, Object recognition supported by user interaction for service robots.

Combining Multiagent Negotiation and an Interacting Verification Process to Enhance Biometric-Based Identification

Michael C. Fairhurst, Marjory C. C. Abreu, 2011, BIOID.

Improving Identity Prediction in Signature-based Unimodal Systems Using Soft Biometrics

Michael C. Fairhurst, Marjory C. C. Abreu, 2009, COST 2101/2102 Conference.

Enhancing the forensic value of handwriting using emotion prediction

Michael C. Fairhurst, Meryem Erbilek, Cheng Li, 2014, 2nd International Workshop on Biometrics and Forensics.

Serial Combination of Multiple Experts: A Unified Evaluation

Fuad Rahman, Michael C. Fairhurst, M. Fairhurst, 1999, Pattern Analysis & Applications.

Intelligent Management of Multimodal Biometric Transactions

Michael C. Fairhurst, Farzin Deravi, Konstantinos Sirlantzis, 2003, KES.

An exploration of a new paradigm for weightless RAM-based neural networks

Fuad Rahman, W. Gareth J. Howells, Michael C. Fairhurst, 2000, Connect. Sci..

An interactive two-level architecture for a memory network pattern classifier

Michael C. Fairhurst, H. M. S. Abdel Wahab, 1990, Pattern Recognit. Lett..

A Securable Autonomous Generalised Document Model (SAGENT)

W. Gareth J. Howells, Michael C. Fairhurst, Farzin Deravi, 2008, 2008 Bio-inspired, Learning and Intelligent Systems for Security.

Combining Boolean Neural Architectures for Image Recognition

André Carlos Ponce de Leon Ferreira de Carvalho, Michael C. Fairhurst, David L. Bisset, 1997, Connect. Sci..

Automatic Image Processing in Developmental Testing of Visual-Motor Integration

Michael C. Fairhurst, Russell J. Bradford, N. Higson, 1994, ICCHP.

Analysing constructional aspects of figure completion for the diagnosis of visuo-spatial neglect

Michael C. Fairhurst, N. Donnelly, Richard M. Guest, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification

Michael C. Fairhurst, Marjory C. C. Abreu, Márjory Da Costa-Abreu, 2008, BIOID.

Improving multi-view facial expression recognition through two novel texture-based feature representations

Anne M. P. Canuto, Michael C. Fairhurst, Xuejian Wang, 2020, Intell. Data Anal..

An evolutionary algorithm for classifier and combination rule selection in multiple classifier systems

Michael C. Fairhurst, Konstantinos Sirlantzis, Richard M. Guest, 2002, Object recognition supported by user interaction for service robots.

SAGENT: a novel technique for document modeling for secure access and distribution

W. Gareth J. Howells, Michael C. Fairhurst, Farzin Deravi, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Fingerprint Matching with an Evolutionary Approach

Weiguo Sheng, W. Gareth J. Howells, Michael C. Fairhurst, 2007, ICB.

Decision combination of multiple classifiers for pattern classification: hybridisation of majority voting and divide and conquer techniques

Fuad Rahman, Michael C. Fairhurst, 2000, Proceedings Fifth IEEE Workshop on Applications of Computer Vision.

Implementing Word Retrieval in Handwritten Documents Using a Small Dataset

Michael C. Fairhurst, Yiqing Liang, Richard M. Guest, 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

The use of confidence measures to enhance combination strategies in multi-network neuro-fuzzy systems

Anne M. P. Canuto, W. Gareth J. Howells, Michael C. Fairhurst, 2000, Connect. Sci..

An Investigation of Predictive Profiling from Handwritten Signature Data

Michael C. Fairhurst, Marjory C. C. Abreu, Márjory Da Costa-Abreu, 2009, 2009 10th International Conference on Document Analysis and Recognition.

Human-Computer Interaction in the Provision of an Interpersonal Communication Mechanism for the Nonvocal

Michael C. Fairhurst, Constantine Stephanidis, M. Bonaventura, 1987, Int. J. Man Mach. Stud..

Input Space Transformations for Multi-classifier Systems Based on n-tuple Classifiers with Application to Handwriting Recognition

Michael C. Fairhurst, Konstantinos Sirlantzis, Sanaul Hoque, 2003, Multiple Classifier Systems.

Fuzzy Connectives as a Combination Tool in a Hybrid Multi-Neural System

Anne M. P. Canuto, W. Gareth J. Howells, Michael C. Fairhurst, 2003, Int. J. Neural Syst..

Applying Adaptive Logic Networks to character recognition

André Carlos Ponce de Leon Ferreira de Carvalho, Michael C. Fairhurst, 1998, Pattern Recognit. Lett..

This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.

Alejandro F. Frangi, Arman Savran, Michael C. Fairhurst, 2022 .

Complexity measures in handwritten signature verification

Michael C. Fairhurst, Richard M. Guest, Elina Kaplani, 2001, HCI.

Measuring classification complexity of image databases: a novel approach

Fuad Rahman, Michael C. Fairhurst, 1999, Proceedings 10th International Conference on Image Analysis and Processing.

The Dynamics of Learning in some Digital Networks

Michael C. Fairhurst, 1973 .

An effective template protection method for face and voice cancellable identification

Anne M. P. Canuto, Michael C. Fairhurst, Fernando Pintro, 2014, Int. J. Hybrid Intell. Syst..

Genetic Algorithms for Multi-classifier System Configuration: A Case Study in Character Recognition

Michael C. Fairhurst, Konstantinos Sirlantzis, Sanaul Hoque, 2001, Multiple Classifier Systems.

Using Biometrics as an Enabling Technology in Balancing Universality and Selectivity for Management of Information Access

Michael C. Fairhurst, Farzin Deravi, Richard M. Guest, 2002, User Interfaces for All.

Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data

Cheng Li, Michael C. Fairhurst, Marjory C. C. Abreu, 2017, IET Biom..

A novel multi-stage approach to the detection of visuo-spatial neglect based on the analysis of figure-copying tasks

Michael C. Fairhurst, Richard M. Guest, M. Fairhurst, 2002, Assets '02.

Bit plane decomposition and the scanning n-tuple classifier

Michael C. Fairhurst, Konstantinos Sirlantzis, Sanaul Hoque, 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

An Extended Hyperbola Model for Road Tracking for Video-based Personal Navigation

Li Bai, Yan Wang, Michael C. Fairhurst, 2007, SGAI Conf..

Adaptive pattern recognition using goal seeking neurons

Michael C. Fairhurst, Edson Costa de Barros Carvalho Filho, David L. Bisset, 1991, Pattern Recognit. Lett..

An investigation of fuzzy combiners applied to a hybrid multi-neural system

Anne M. P. Canuto, W. Gareth J. Howells, Michael C. Fairhurst, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

Gabor wavelets and General Discriminant Analysis for face identification and verification

LinLin Shen, Li Bai, Michael C. Fairhurst, 2007, Image Vis. Comput..

RePART: A Modified Fuzzy ARTMAP for Pattern Recognition

Anne M. P. Canuto, W. Gareth J. Howells, Michael C. Fairhurst, 1999, Fuzzy Days.

The effect of the inhibition-compensation learning scheme on n-tuple based classifier performance

Michael C. Fairhurst, Sanaul Hoque, Richard M. Guest, 2002, Object recognition supported by user interaction for service robots.

Design considerations in the real-time implementation of multiple expert image classifiers within a modular and flexible multiple-platform design environment

Fuad Rahman, Michael C. Fairhurst, P. Lee, 1998, Real Time Imaging.

A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection

Weiguo Sheng, Michael C. Fairhurst, Xiaohui Liu, 2008, IEEE Transactions on Knowledge and Data Engineering.

PCN: the probabilistic convergent network

W. Gareth J. Howells, Michael C. Fairhurst, David L. Bisset, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

A New Method for the Synthesis of Signature Data With Natural Variability

Michael C. Fairhurst, Richard M. Guest, Cedric Rabasse, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Biosecure reference systems for on-line signature verification: A study of complementarity

Michael C. Fairhurst, Bernadette Dorizzi, Sonia Garcia-Salicetti, 2007, Ann. des Télécommunications.

Document identity, authentication and ownership: the future of biometric verification

Michael C. Fairhurst, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Performance comparisons in hierarchical architectures for memory network pattern classifiers

Michael C. Fairhurst, M. A. G. Mattoso Maia, 1986, Pattern Recognit. Lett..

An integrated Boolean neural network for pattern classification

André Carlos Ponce de Leon Ferreira de Carvalho, Michael C. Fairhurst, David L. Bisset, 1994, Pattern Recognit. Lett..

Efficient detection of spurious inputs for improving the robustness of MLP networks in practical applications

Germano C. Vasconcelos, Michael C. Fairhurst, David L. Bisset, 1995, Neural Computing & Applications.

Fuzzy Vault Fingerprint Smartcard Implementation Using an Orientation-Based Feature Vector

Weiguo Sheng, W. Gareth J. Howells, Michael C. Fairhurst, 2008, 2008 Bio-inspired, Learning and Intelligent Systems for Security.

Kinematic profiling in object location and line drawing tasks by visuo-spatial neglect subjects

Michael C. Fairhurst, Richard M. Guest, Jonathan M. Potter, 2001, HCI.

Diagnosis of Visuo-Spatial Neglect Using Dynamic Sequence Features from a Cancellation Task

Michael C. Fairhurst, Richard M. Guest, Jonathan M. Potter, 2002, Pattern Analysis & Applications.

Towards a Flexible Framework for Open Source Software for Handwritten Signature Analysis

Michael C. Fairhurst, Claus Vielhauer, Richard M. Guest, 2005, GfKl.

A methodological framework for investigating age factors on the performance of biometric systems

Michael C. Fairhurst, Meryem Erbilek, 2012, MM&Sec '12.

A new hybrid approach in combining multiple experts to recognise handwritten numerals

Fuad Rahman, Michael C. Fairhurst, M. Fairhurst, 1997, Pattern Recognit. Lett..

Comparison of some multiple expert strategies: an investigation of resource prerequisites and achievable performance

Fuad Rahman, Michael C. Fairhurst, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Multilocal Search and Adaptive Niching Based Memetic Algorithm With a Consensus Criterion for Data Clustering

Weiguo Sheng, Gang Xiao, Shengyong Chen, 2014, IEEE Transactions on Evolutionary Computation.

Recognition of handwritten Bengali characters: a novel multistage approach

Fuad Rahman, Michael C. Fairhurst, R. Rahman, 2002, Pattern Recognit..

A Study of the User Interface in Biometric Verification Based on the Characteristics of Human Signature Checking

Michael C. Fairhurst, Elina Kaplani, M. Fairhurst, 2003, KES.

Biometrics: A Very Short Introduction

Michael C. Fairhurst, 2018 .

A computer-based quantitative assessment of visuo-spatial neglect using regression and data transformation

Michael C. Fairhurst, Yiqing Liang, Richard M. Guest, 2010, Pattern Analysis and Applications.

Diversity-performance relationship in a handwriting recognition system based on bit-plane decomposition

Michael C. Fairhurst, Konstantinos Sirlantzis, Sanaul Hoque, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Reliable and secure encryption key generation from fingerprints

Weiguo Sheng, Shengyong Chen, W. Gareth J. Howells, 2012, Inf. Manag. Comput. Secur..

A new multi-expert decision combination algorithm and its application to the detection of circumscribed masses in digital mammograms

Fuad Rahman, Michael C. Fairhurst, A. S. Constantinidis, 2001, Pattern Recognit..

An EM Based Algorithm for Skew Detection

Michael C. Fairhurst, Its'hak Dinstein, Amir Egozi, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

A Computationally Efficient Fingerprint Segmentation Algorithm Using Digital Closed Curves

Weiguo Sheng, W. Gareth J. Howells, Michael C. Fairhurst, 2007, IPCV.

Feature-based assessment of visuo-spatial neglect patients using hand-drawing tasks

Michael C. Fairhurst, Yiqing Liang, Richard M. Guest, 2007, Pattern Analysis and Applications.

A synthesised word approach to word retrieval in handwritten documents

Michael C. Fairhurst, Yiqing Liang, Richard M. Guest, 2012, Pattern Recognit..

Diversity in multiple classifier ensembles based on binary feature quantisation with application to face recognition

Michael C. Fairhurst, Konstantinos Sirlantzis, Sanaul Hoque, 2008, Appl. Soft Comput..

An extended hyperbola model for road tracking for video-based personal navigation

Li Bai, Yan Wang, Michael C. Fairhurst, 2008, Knowl. Based Syst..

Feature Selection Optimisation in an Automated Diagnostic Cancellation Task

Michael C. Fairhurst, Richard M. Guest, Samuel Chindaro, 2004, ICCHP.

A new chain-code quantization approach enabling high performance handwriting recognition based on multi-classi .er schemes

Michael C. Fairhurst, Konstantinos Sirlantzis, Sanaul Hoque, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Exploring Gender Prediction from Iris Biometrics

Michael C. Fairhurst, Marjory C. C. Abreu, Meryem Erbilek, 2015, 2015 International Conference of the Biometrics Special Interest Group (BIOSIG).

The Development of a Computer-Assisted Tool for the Assessment of Neuropsychological Drawing Tasks

Michael C. Fairhurst, Thierry Paquet, Laurent Heutte, 2008, Int. J. Inf. Technol. Decis. Mak..

A two-layer memory network architecture for a pattern classifier

Michael C. Fairhurst, M. A. G. Mattoso Maia, 1983, Pattern Recognit. Lett..

Automatic Handwriting Feature Extraction, Analysis and Visualization in the Context of Digital Palaeography

Michael C. Fairhurst, Yiqing Liang, Richard M. Guest, 2016, Int. J. Pattern Recognit. Artif. Intell..

Using genetic algorithms and ensemble systems in online cancellable signature recognition

Anne M. P. Canuto, Michael C. Fairhurst, Fernando Pintro, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Selective partition algorithm for finding regions of maximum pairwise dissimilarity among statistical class models

Fuad Rahman, Michael C. Fairhurst, 1997, Pattern Recognit. Lett..

Automatic classification of hand drawn geometric shapes using constructional sequence analysis

Michael C. Fairhurst, Richard M. Guest, Samuel Chindaro, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Improving Handwritten Signature-Based Identity Prediction through the Integration of Fuzzy Soft-Biometric Data

Michael C. Fairhurst, Marjory C. C. Abreu, Márjory Da Costa-Abreu, 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

Optimisation of multiple classifier systems using genetic algorithms

Michael C. Fairhurst, Konstantinos Sirlantzis, M. Fairhurst, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

An Evaluation Of Multi-Expert Configurations For The Recognition Of Handwritten Numerals

Fuad Rahman, Michael C. Fairhurst, M. Fairhurst, 1998, Pattern Recognit..

A Novel Level-Independent Fingerprint Segmentation Algorithm based on Fourier Energy

Weiguo Sheng, W. Gareth J. Howells, Michael C. Fairhurst, 2007, IPCV.

Automatic Measures for Predicting Performance in Off-Line Signature

Michael C. Fairhurst, Julian Fiérrez, Javier Ortega-Garcia, 2007, 2007 IEEE International Conference on Image Processing.

Fusion of n-Tuple Based Classifiers for High Performance Handwritten Character Recognition

Fuad Rahman, Michael C. Fairhurst, Konstantinos Sirlantzis, 2002, SSPR/SPR.

An investigation of pictographic form in relation to mechanisms of knowledge acquisition

Michael C. Fairhurst, M. Bonaventura, M. Fairhurst, 1986, IPMU.

Robust Road Modeling and Tracking Using Condensation

Li Bai, Yan Wang, Michael C. Fairhurst, 2008, IEEE Transactions on Intelligent Transportation Systems.

A Multi-Classifier Approach to Modelling Human and Automatic Visual Cognition

W. Gareth J. Howells, Michael C. Fairhurst, Konstantinos Sirlantzis, 2007, 2007 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security (BLISS 2007).

"Frontiers of Pattern Recognition, " edited by S. Watanabe (Book Review)

Michael C. Fairhurst, I. Aleksander, 1974, Int. J. Man Mach. Stud..

An Evaluation of Parallel Strategies for Feature Vector Construction in Automatic Signature Verification Systems

Michael C. Fairhurst, Paul Brittan, 1994, Int. J. Pattern Recognit. Artif. Intell..

DocExplore: overcoming cultural and physical barriers to access ancient documents

Michael C. Fairhurst, Yiqing Liang, Laurent Heutte, 2012, DocEng '12.

Ensemble systems and cancellable transformations for multibiometric-based identification

Anne M. P. Canuto, Michael C. Fairhurst, Fernando Pintro, 2014, IET Biom..

Analysis and Modelling of Diversity Contribution to Ensemble-Based Texture Recognition Performance

Michael C. Fairhurst, Konstantinos Sirlantzis, Samuel Chindaro, 2005, Multiple Classifier Systems.

The autonomous document object (ADO) model

W. Gareth J. Howells, Michael C. Fairhurst, Farzin Deravi, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

A Novel Pair-Wise Recognition Scheme for Handwritten Characters in the Framework of a Multi-expert Configuration

Fuad Rahman, Michael C. Fairhurst, 1997, ICIAP.

Consensus fingerprint matching with genetically optimised approach

W. Gareth J. Howells, Michael C. Fairhurst, Farzin Deravi, 2009, Pattern Recognit..

Intelligent agents for the management of complexity in multimodal biometrics

Anne M. P. Canuto, Michael C. Fairhurst, Farzin Deravi, 2002, Universal Access in the Information Society.

Framework for managing ageing effects in signature biometrics

Michael C. Fairhurst, Meryem Erbilek, 2012, IET Biom..

Multiple Classifier Combination for Character Recognition: Revisiting the Majority Voting System and Its Variations

Fuad Rahman, Michael C. Fairhurst, Hassan Alam, 2002, Document Analysis Systems.

Improving Artmap Learning Through Variable Vigilance

Anne M. P. Canuto, W. Gareth J. Howells, Michael C. Fairhurst, 2001, Int. J. Neural Syst..

EMMEL: a framework for historical manuscript analysis and presentation

Michael C. Fairhurst, Yiqing Liang, Laurent Heutte, 2013, Universal Access in the Information Society.

Fusion of Local Descriptors for Multi-view Facial Expression Recognition

Anne M. P. Canuto, Michael C. Fairhurst, Xuejian Wang, 2018, 2018 7th Brazilian Conference on Intelligent Systems (BRACIS).

An improved learning scheme for the moving window classifier

Michael C. Fairhurst, Sanaul Hoque, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

Automatic Constructional Analysis of Images in Visuoperceptual Evaluation

Michael C. Fairhurst, S. L. Smith, 1991, MIE.

Multiple expert classification: a new methodology for parallel decision fusion

Fuad Rahman, Michael C. Fairhurst, 2000, International Journal on Document Analysis and Recognition.

Improved age prediction from biometric data using multimodal configurations

Michael C. Fairhurst, Marjory C. C. Abreu, Meryem Erbilek, 2014, 2014 International Conference of the Biometrics Special Interest Group (BIOSIG).

Acquisition Scenario Analysis for Face Recognition at a Distance

Michael C. Fairhurst, Julian Fiérrez, Javier Ortega-Garcia, 2010, ISVC.