A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques.

A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques.

Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, intra-class variability, non-universality, and vulnerability t...

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Bibliographic Details
Main Author: Nassar, Alaa S.N.
Other Authors: Qahwaji, Rami S.R.
Language:en
Published: University of Bradford 2019
Subjects:
Multimodal multibiometric systems
Face recognition
Iris recognition
Iris localization
Deep learning
Feature extraction
Curvelet transform
Fractal dimension
Deep belief network
Convolutional neural network
Personal identification
Online Access:http://hdl.handle.net/10454/16917

Internet

http://hdl.handle.net/10454/16917

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