New feature-level algorithm for a face-fingerprint integral multi-biometrics identification system.
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...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
University of Human Development
2022
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| Online Access: | http://eprints.utm.my/104731/1/SitiZaitonMohdHashim2022_NewFeatureLevelAlgorithmforaFaceFingerprint.pdf http://eprints.utm.my/104731/ http://dx.doi.org/10.21928/uhdjst.v6n1y2022.pp12-20 |
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| Summary: | 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 Face-fingerprints 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. |
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