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Iris recognition using AdaBoost and Levenshtein distances

Autor
Climent, J.; Hexsel, R.
Tipus d'activitat
Article en revista
Revista
International journal of pattern recognition and artificial intelligence
Data de publicació
2012
Volum
26
Número
2
Pàgina inicial
1
Pàgina final
20
DOI
https://doi.org/10.1142/S0218001412660012 Obrir en finestra nova
URL
http://www.worldscientific.com/doi/abs/10.1142/S0218001412660012 Obrir en finestra nova
Resum
This paper presents an efficient IrisCode classifier, built from phase features which uses AdaBoost for the selection of Gabor wavelets bandwidths. The final iris classifier consists of a weighted contribution of weak classifiers. As weak classifiers we use three-split decision trees that identify a candidate based on the Levenshtein distance between phase vectors of the respective iris images. Our experiments show that the Levenshtein distance has better discrimination in comparing IrisCodes th...
Paraules clau
AdaBoost, Biometrics, Iris recognition, Levenshtein distance, Processor array, String matching
Grup de recerca
VIS - Visió Artificial i Sistemes Intel.ligents

Participants