Firstly, we create a fingerprint minutiae dataset using a semi-automated minutiae annotation algorithm. Subsequently, we propose a minutiae extraction model ...

Firstly, we create a fingerprint minutiae dataset using a semi-automated minutiae annotation algorithm. Subsequently, we propose a minutiae extraction model ...

Sep 1, 2024 · Firstly, we create a fingerprint minutiae dataset using a semi-automated minutiae annotation algorithm. Subsequently, we propose a minutiae ...

Abstract ; Publication: IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ; Pub Date: September 2024 ; DOI: 10.1587/transfun.

Apr 5, 2024 · Deep Learning-inspired Automatic Minutiae Extraction From Semi-automated Annotations Hongtian ZHAO Hua YANG Shibao ZHENG Publication: IEICE ...

Deep Learning-Inspired Automatic Minutiae Extraction from Semi-Automated Annotations · Hongtian ZhaoHua YangShibao Zheng. Computer Science. IEICE Trans. Fundam ...

, Hua Yang, Shibao Zheng: Deep Learning-Inspired Automatic Minutiae Extraction from Semi-Automated Annotations. IEICE Trans. Fundam. Electron. Commun ...

Proposed automatic minutiae extraction architecture. While ... Deep Learning-Inspired Automatic Minutiae Extraction from Semi-Automated Annotations.

The proposed approach to robust minutiae detection will be useful to train network-based fingerprint matching algorithms as well as for evaluating ...

Deep Learning-Inspired Automatic Minutiae Extraction from Semi-Automated Annotations. 資料種別: 記事. 著者: ZHAO Hongtianほか. 出版者: The Institute of ...