A Survey of Finger Vein Recognition

Nghi C. Tran, Jia Ching Wang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

Many researchers are interested in finger vein identification since it is hidden beneath the skin, so it is considered more secure than other biometric features like the face, retina, fingerprint. Furthermore, finger vein collection is more easier and more hygienic than other features. There are some approaches for finger vein recognition, such as using image processing approach that focus on the hand-craft features, or deep learning approach. The deep learning approach has been demonstrated to be more beneficial than the image processing approach, especially in images with poor quality, low contract, or variations in position, rotation, or scale. This survey not only summarizes recent advances in finger vein detection but also compares several contemporary methodologies.

原文???core.languages.en_GB???
主出版物標題2021 9th International Conference on Orange Technology, ICOT 2021
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665478427
DOIs
出版狀態已出版 - 2021
事件9th International Conference on Orange Technology, ICOT 2021 - Tainan, Taiwan
持續時間: 16 12月 202117 12月 2021

出版系列

名字2021 9th International Conference on Orange Technology, ICOT 2021

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???9th International Conference on Orange Technology, ICOT 2021
國家/地區Taiwan
城市Tainan
期間16/12/2117/12/21

指紋

深入研究「A Survey of Finger Vein Recognition」主題。共同形成了獨特的指紋。

引用此