Floating search methods in feature selection
Pattern Recognition Letters
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Biometric Hash based on Statistical Features of Online Signatures
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Error Control Coding, Second Edition
Error Control Coding, Second Edition
Designs, Codes and Cryptography
Securing Fingerprint Template: Fuzzy Vault with Helper Data
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
An improved BioHashing for human authentication
Pattern Recognition
Handwriting: feature correlation analysis for biometric hashes
EURASIP Journal on Applied Signal Processing
Score normalization in multimodal biometric systems
Pattern Recognition
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
An on-line signature verification system based on fusion of local and global information
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Biometrics: a tool for information security
IEEE Transactions on Information Forensics and Security
Biometric hash: high-confidence face recognition
IEEE Transactions on Circuits and Systems for Video Technology
Privacy-preserving multimodal person and object identification
Proceedings of the 10th ACM workshop on Multimedia and security
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We present a general biometric hash generation scheme based on vector quantization of multiple feature subsets selected with genetic optimization. The quantization of subsets overcomes the dimensionality problem of other hash generation algorithms, while the feature selection step using an integer-coding genetic algorithm enables to exploit all the discriminative information found in large feature sets. We provide experimental results of the proposed hashing for verification of on-line signatures. Development and evaluation experiments are reported on the MCYT signature database, comprising 16, 500 signatures from 330 subjects.