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- W2785451509 abstract "As a new biometric technology, finger vein recognition has received much attention in recent years. Since deep learning is an end-to-end system, and has achieved very good results in such fields as face recognition and target detection, we try to apply it to finger vein recognition. In this paper, we adopt seven layers of CNN which include 5 convolution layers and 2 fully-connected layers. This network obtains a recognition rate of 99.53%, which proves to be better performing than traditional algorithm." @default.
- W2785451509 created "2018-02-23" @default.
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- W2785451509 date "2017-06-01" @default.
- W2785451509 modified "2023-10-01" @default.
- W2785451509 title "Finger vein recognition based on deep learning" @default.
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- W2785451509 doi "https://doi.org/10.1109/iciea.2017.8282842" @default.
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