Fingerprint identification using graph matching
Pattern Recognition
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Automated fingerprint recognition using structural matching
Pattern Recognition
On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint identification using space invariant transforms
Pattern Recognition Letters
Neural Networks for Combinatorial Optimization: a Review of More Than a Decade of Research
INFORMS Journal on Computing
Learning and Extracting Edges from Images by a Modified Hopfield Neural Network
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
A Minutia Matching Algorithm in Fingerprint Verification
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Novel Approaches for Minutiae Verification in Fingerprint Images
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Fingerprint Matching Based on Global Comprehensive Similarity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fingerprint matching by genetic algorithms
Pattern Recognition
Fingerprint matching using OrientationCodes and PolyLines
Pattern Recognition
Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements
IEEE Transactions on Computers
Consensus fingerprint matching with genetically optimised approach
Pattern Recognition
Representation of Associated Data by Matrix Operators
IEEE Transactions on Computers
Fingerprint verification using correlation filters
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
A combined self-organizing feature map and multilayer perceptronfor isolated word recognition
IEEE Transactions on Signal Processing
A Memetic Fingerprint Matching Algorithm
IEEE Transactions on Information Forensics and Security - Part 1
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
“Optimal” Hopfield network for combinatorial optimization with linear cost function
IEEE Transactions on Neural Networks
A theoretical investigation into the performance of the Hopfield model
IEEE Transactions on Neural Networks
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In this paper we are studying the optimization of Stochastic Hopfield neural network and the hybrid SOM-Hopfield neural network for the storage and recalling of fingerprint images. The feature extraction of these images has been performed using FFT, DWT and SOM. The feature vectors are stored in the Hopfield network with Hebbian learning and modified Pseudoinverse learning rules. The study explores the tolerance of Hopfield neural networks for reducing the effect of spurious minima in the recalling process by employing the Simulated annealing process. It is observed from the simulations that the capabilities of the Hopfield network can be sufficiently enhanced by making modifications in the feature extraction of the input data. DWT and SOM together can be used to significantly enhance the recall efficiency. The probability of error in recall in the form of spurious minima is minimized by adopting simulated annealing process in the pattern recalling process.