Joint discriminative feature learning for multimodal finger recognition
Li,Shuyi; Zhang,Bob; Fei,Lunke; Zhao,Shuping
2021-03-01
Source PublicationPattern Recognition
ISSN0031-3203
Volume111
AbstractRecently, finger-based multimodal biometrics, due to its high security and stability, has received considerable attention compared with unimodal biometrics. However, existing multimodal finger feature extraction approaches separately extract the features of different modalities, at the same time ignoring correlations among these different modalities. Furthermore, most of the conventional finger feature representation approaches are hand-crafted by design, which require strong prior knowledge. It is therefore very important to explore and develop a suitable feature representation and fusion strategy for multimodal biometrics recognition. In this paper, we proposed a joint discriminative feature learning (JDFL) framework for multimodal finger recognition by combining finger vein (FV) and finger knuckle print (FKP) patterns. For the FV and FKP images, we first established the informative dominant direction vector by convoluting a bank of Gabor filters and the original finger image. Then, we developed a simple yet effective feature learning algorithm, which simultaneously maximized the distance of between-class samples and minimized the distance of within-class samples, as well as maximized the correlation among inter-modality samples of the within-class. Finally, we integrated the block-wise histograms of the learned feature maps together for multimodal finger fusion recognition. Experimental results demonstrated that the proposed approach has a better recognition performance than state-of-the-art finger recognition methods.
KeywordFeature fusion Inter-modality Joint feature learning Multimodal biometrics
DOI10.1016/j.patcog.2020.107704
URLView the original
Language英语
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Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorZhang,Bob
AffiliationPAMI Research Group,Department of Computer and Information Science,University of Macau,Taipa,China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Li,Shuyi,Zhang,Bob,Fei,Lunke,et al. Joint discriminative feature learning for multimodal finger recognition[J]. Pattern Recognition,2021,111.
APA Li,Shuyi,Zhang,Bob,Fei,Lunke,&Zhao,Shuping.(2021).Joint discriminative feature learning for multimodal finger recognition.Pattern Recognition,111.
MLA Li,Shuyi,et al."Joint discriminative feature learning for multimodal finger recognition".Pattern Recognition 111(2021).
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