Feature and Score Fusion Based Multiple Classifier Selection for Iris Recognition
The aim of this work is to propose a new feature and score fusion based iris recognition approach where voting method on Multiple Classifier Selection technique has been applied. Four Discrete Hidden Markov Model classifiers output, that is, left iris based unimodal system, right iris based unimodal...
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| Format: | Article |
| Language: | English |
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Hindawi Limited
2014-01-01
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| Series: | Computational Intelligence and Neuroscience |
| Online Access: | http://dx.doi.org/10.1155/2014/380585 |