Face–iris multimodal biometric scheme based on feature level fusion

Author:

Huo Guang1,Liu Yuanning2,Zhu Xiaodong2,Dong Hongxing2,He Fei3

Affiliation:

1. Jinlin University, College of Computer Science and Technology, Qianjin Street, Changchun 130012, ChinabNortheast Dianli University, Information Office, ChangChun Road, Jilin 132012, ChinacJinlin University, Key Laboratory of Symbolic Computation and Knowl

2. Jinlin University, College of Computer Science and Technology, Qianjin Street, Changchun 130012, ChinacJinlin University, Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Qianjin Street, Changchun 130012, Chin

3. Northeast Normal University, School of Computer Science and Information Technology, Renmin Street, Changchun 130117, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

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1. Face and Iris‐Based Secured Authorization Model Using CNN;Multimodal Biometric and Machine Learning Technologies;2023-10-16

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3. A Novel Fusion System Based on Iris and Ear Biometrics for E-exams;Intelligent Automation & Soft Computing;2023

4. Multimodal biometrics system using feature-level fusion of Iris and fingerprint using template security;ADVANCES IN INTELLIGENT APPLICATIONS AND INNOVATIVE APPROACH;2023

5. Survey of multimodal biometric recognition system based on feature level fusion;2ND INTERNATIONAL CONFERENCE OF MATHEMATICS, APPLIED SCIENCES, INFORMATION AND COMMUNICATION TECHNOLOGY;2023

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