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Humans Verification by Adopting Deep Recurrent Fingerphotos Network.
- Source :
- Baghdad Science Journal; 2024 Special Issue, Vol. 21, p1827-1839, 13p
- Publication Year :
- 2024
-
Abstract
- <i>Copyright of Baghdad Science Journal is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
- Subjects :
- DEEP learning
HUMAN beings
BIOMETRY
SMARTPHONES
BLACKBERRIES
Subjects
Details
- Language :
- English
- ISSN :
- 20788665
- Volume :
- 21
- Database :
- Complementary Index
- Journal :
- Baghdad Science Journal
- Publication Type :
- Academic Journal
- Accession number :
- 177760450
- Full Text :
- https://doi.org/10.21123/bsj.2024.10552