Investigating combinations of feature extraction and classification for improved image-based multimodal biometric systems at the feature level
Multimodal biometrics has become a popular means of overcoming the limitations of unimodal biometric systems. However, the rich information particular to the feature level is of a complex nature and leveraging its potential without overfitting a classifier is not well studied. This research investig...
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| Format: | Others |
| Language: | English |
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Rhodes University
2018
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| Online Access: | http://hdl.handle.net/10962/63470 |