Design and Simulation of Ear and Tongue Based Biometrics for Attendance Management System
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Date
2021-03
Journal Title
Journal ISSN
Volume Title
Publisher
UNIOSUN Journal of Engineering and Environmental Sciences
Abstract
Multimodal biometrics has engrossed a lot of interest in recent years as it offers a more
dependable scheme for verification and authentication. Multimodal biometrics includes a
combination of information from different biometric modalities. This research work simulates a
novel method with a view of attendance management using ear and tongue images. Principal
Component Analysis was employed for feature extraction of the biometric modalities and Self
Organizing Feature Map was used for training and testing of the system. The method was evaluated
using six thousand ear images and four thousand tongue images. The acquired images were
preprocessed and features extracted were fused at this stage. The fusion results of ear and tongue
images demonstrated better performance for attendance management.
Description
Staff Publication
Keywords
Multimodal,, Biometrics,, Attendance Management,, PCA,, SOFM,, Fusion