| Kuwait Journal of Science | |
| Multimodal biometric authentication using adaptive decision boundaries | |
| FUAD M. ALKOOT1  | |
| [1] Higher Institute of Telecommunication and Navigation, Public Authority for Applied Education and Training | |
| 关键词: Banca data; biometric; classifier fusion; MOBIO; quality measure; | |
| DOI : | |
| 学科分类:社会科学、人文和艺术(综合) | |
| 来源: Kuwait University * Academic Publication Council | |
PDF
|
|
【 摘 要 】
Combination methods was one of the main techniques to improve the performance. We aim to find the fusion strategy that yields the best classification rate in experiments on the MOBIO-Banca biometric data set. Scores from classifier outputs are ranked and fused using several fusion strategies. Our proposed method of combined use of adaptive boundaries and quality measure based ranking of scores yields significant improvement over existing fixed boundary methods. Sum fusion yields very large improvement and succeeds, where MProduct does not. We explain the degradation in the serial MOBIO combiner analytically and through synthetic experiments. We show that the performance of weak classifier combiners follow a hyperbolic curve as weaker classifiers are added.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201912010158274ZK.pdf | 675KB |
PDF