New feature-level algorithm for a face-fingerprint integral multi-biometrics identification system.

• Main Author: Mohd. Hashim, Siti Zaiton
• Format: Article
• Language: English
• Published: University of Human Development 2022
• Subjects: T58.5-58.64 Information technology; T58.6-58.62 Management information systems
• 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

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.