An optimized biometric system with intra-and inter-modal feature-level fusion
| Autor: | Cristina Soviany, Virginia Sandulescu, Sorin Soviany, Sorin Puscoci, Mariana Jurian |
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| Rok vydání: | 2017 |
| Předmět: |
021110 strategic
defence & security studies Fusion Biometrics business.industry Computer science 020208 electrical & electronic engineering Feature extraction Iris recognition 0211 other engineering and technologies Pattern recognition 02 engineering and technology Sensor fusion Identification (information) Feature (computer vision) ComputerApplications_MISCELLANEOUS 0202 electrical engineering electronic engineering information engineering Fusion rules Artificial intelligence business |
| Zdroj: | 2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). |
| DOI: | 10.1109/ecai.2017.8166466 |
| Popis: | The multimodal biometric systems optimization is approached with a biometric data fusion model that is based on an intra-modal and inter-modal feature combination. The intra-modal feature fusion is applied for the same biometric trait and it is suitable also for a system with a single biometric (unimodal). The inter-modal feature fusion is applied for multi-biometric systems (multimodal). The proposed data fusion model provides a better exploitation of the extracted features within a suitable combination of intra- and inter-modal fusion rules. It shows the potential of the feature-level fusion for human identification accuracy enhancement, despite of the actual challenges for its implementation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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