Instance-Based Learning Algorithms
Machine Learning
C4.5: programs for machine learning
C4.5: programs for machine learning
A Combination Fingerprint Classifier
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Machine Learning
SLIQ: A Fast Scalable Classifier for Data Mining
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Online Palmprint Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
A complete fuzzy decision tree technique
Fuzzy Sets and Systems - Theme: Learning and modeling
Fingerprint matching based on weighting method and the SVM
Neurocomputing
Vague knowledge search in the design for outsourcing using fuzzy decision tree
Computers and Operations Research
A Novel SVM Decision Tree and its application to Face Detection
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01
Introducing a decision tree-based indoor positioning technique
Expert Systems with Applications: An International Journal
Incorporating Cohort Information for Reliable Palmprint Authentication
ICVGIP '08 Proceedings of the 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing
Fuzzy classification systems based on fuzzy information gain measures
Expert Systems with Applications: An International Journal
Probabilistic scoring using decision trees for fast and scalable speaker recognition
Speech Communication
Fingerprint classification based on Adaboost learning from singularity features
Pattern Recognition
Face recognition method based on support vector machine and particle swarm optimization
Expert Systems with Applications: An International Journal
Face recognition with decision tree-based local binary patterns
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Fuzzy decision trees: issues and methods
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A parallel decision tree-based method for user authentication based on keystroke patterns
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy SLIQ Decision Tree Algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Personal recognition using hand shape and texture
IEEE Transactions on Image Processing
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Face recognition: a convolutional neural-network approach
IEEE Transactions on Neural Networks
Face recognition with radial basis function (RBF) neural networks
IEEE Transactions on Neural Networks
Biometric authentication using finger nail plates
Expert Systems with Applications: An International Journal
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The use of fuzzy decision trees is yet to be ascertained for the biometric based personal authentications. This paper therefore presents a fuzzy binary decision tree (FBDT) algorithm for decision making on two classes: genuine and imposter using matching scores computed from the biometric databases. The proposed FBDT makes use of two criteria: fuzzy Gini index and fuzzy entropy for the selection of the tree nodes. The fuzzy membership functions can be automatically computed from the training scores and these are employed in two modes: Same function mode, where only one membership function is used for both the classes and Different function mode, where separate functions are used for both the classes. The parameters computed at the learning stages are used for the classification of the claimed identity in any of the two classes. Over-fitting of feature data often results in false branches in the decision trees. So the pruning of the tree is required with the consequent increase in computational complexity. Most of the FBDTs in this work are found to have lesser size than DTs as ascertained from the experimental results. The proposed FBDT is tested on two publically available databases and it fares well over its crisp counterpart.