UM
Local discriminant coding based convolutional feature representation for multimodal finger recognition
Li,Shuyi1; Zhang,Bob1; Zhao,Shuping1; Yang,Jinfeng2
2021-02-08
Source PublicationInformation Sciences
ISSN0020-0255
Volume547Pages:1170-1181
AbstractCompared with unimodal biometrics systems, multimodal systems can effectively improve the recognition performance in accuracy and security. However, exploring a robust feature representation approach suitable for multiple modalities remains a crucial and challenging problem in the personal authentication community. In this paper, we proposed a discriminant local coding based convolutional neural network (LC-CNN) for multimodal finger recognition by fusing fingerprint, finger-vein, and finger-knuckle-print traits. Specifically, for each tri-modal finger images, we first presented a weighted local gradient coding (WLGC) operator to enhance the discriminant characteristics and formed the local coding layer (LC-layer) by reconstructing the WLGC operator with a bank of predefined convolution layers. Then, we established a simple yet effective LC-CNN model to extract deeper tri-modal finger features. Finally, the extracted feature vectors of three modalities are concatenated and input into a Support Vector Machine (SVM) for image classification. Experimental results demonstrate that the proposed method achieves a stable, highly accurate, and robust performance in multimodal finger recognition.
KeywordConvolutional neural network Local coding Multimodal finger recognition
DOI10.1016/j.ins.2020.09.045
URLView the original
Language英语
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Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorZhang,Bob
Affiliation1.Department of Computer and Information Science,University of Macau,Taipa, Macau,China
2.Shenzhen Polytechnic,Shenzhen,China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Li,Shuyi,Zhang,Bob,Zhao,Shuping,et al. Local discriminant coding based convolutional feature representation for multimodal finger recognition[J]. Information Sciences,2021,547:1170-1181.
APA Li,Shuyi,Zhang,Bob,Zhao,Shuping,&Yang,Jinfeng.(2021).Local discriminant coding based convolutional feature representation for multimodal finger recognition.Information Sciences,547,1170-1181.
MLA Li,Shuyi,et al."Local discriminant coding based convolutional feature representation for multimodal finger recognition".Information Sciences 547(2021):1170-1181.
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