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- Title
New Feature-level Algorithm for a Face-fingerprint Integral Multi-biometrics Identification System.
- Authors
Mohammed, Bayan Omar; Majeed, Hamsa D.; Hashim, Siti Zaiton Mohd; Al-Ani, Muzhir Shaban
- Abstract
This article delves into the power of multi-biometric fusion for individual identification. a new feature-level algorithm is proposed that is the Dis-Eigen algorithm. Here, a feature-fusion framework is proposed for attaining better accuracy when identifying individuals for multiple biometrics. The framework, therefore, underpins the new multi-biometric system as it guides multi-biometric fusion applications at the feature phase for identifying individuals. In this regard, the Facefingerprints of 20 individuals represented by 160 images were used in this framework. Experimental resultants of the proposed approach show 93.70 % identification rate with feature-level fusion multi-biometric individual identification.
- Subjects
BIOMETRY; ALGORITHMS; BIOMETRIC identification; HUMAN fingerprints; DETERMINANTS (Mathematics)
- Publication
UHD Journal of Science & Technology, 2022, Vol 6, Issue 1, p12
- ISSN
2521-4209
- Publication type
Article
- DOI
10.21928/uhdjst.v6n1y2022.pp12-20