Fusion Based Multimodel Biometric Authentication System using Ear and Fingerprint

Article Properties
Citations
Title Journal Journal Categories Citations Publication Date
A Multi-Biometric System Based on Multi-Level Hybrid Feature Fusion Herald of the Russian Academy of Sciences
  • Philosophy. Psychology. Religion: Philosophy (General)
  • Science: Science (General)
  • Social Sciences
2 2021
Robust multimodal biometric authentication algorithms using fingerprint, iris and voice features fusion

Journal of Intelligent & Fuzzy Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2021
New Authentication Model for Multimodal Biometrics Based on Shape Features Vectors

Journal of Southwest Jiaotong University 1 2019
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled New Authentication Model for Multimodal Biometrics Based on Shape Features Vectors and was published in 2019. The most recent citation comes from a 2021 study titled A Multi-Biometric System Based on Multi-Level Hybrid Feature Fusion. This article reached its peak citation in 2021, with 2 citations. It has been cited in 3 different journals. Among related journals, the Herald of the Russian Academy of Sciences cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year