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Multimodal biometric recognition using human ear and palmprint

Content Provider	IET Digital Library
Author	Hezil, Nabil Boukrouche, Abdelhani
Abstract	Combining multiple human trait features is a proven and effective strategy for biometric-based personal identification. In this study, the authors investigate the fusion of two biometric modalities, i.e. ear and palmprint, at feature-level. Ear and palmprint patterns are characterised by a rich and stable structure, which provides a large amount of information to discriminate individuals. Local texture descriptors, namely local binary patterns, weber local descriptor, and binarised statistical image features, were used to extract the discriminant features for robust human identification. The authors’ extensive experimental analysis based on the benchmark IIT Delhi-2 ear and IIT Delhi palmprint databases confirmed that the proposed multimodal biometric system is able to increase recognition rates compared with that produced by single-modal biometrics, attaining a recognition rate of 100%.
Starting Page	351
Ending Page	359
Page Count	9
ISSN	20474938
Volume Number	6
e-ISSN	20474946
Issue Number	Issue 5, Sep (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/6/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2016.0072
Journal	IET Biometrics
Publisher Date	2017-01-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Benchmark IIT Delhi-2 Ear Databases Binarised Statistical Image Features Biometric-based Personal Identification Computer Vision And Image Processing Technique Discriminant Feature Extraction Feature Extraction Human Ear Pattern Human Ear Recognition IIT Delhi Palmprint Database Image Fusion Image Recognition Image Texture Local Binary Pattern Local Texture Descriptors Multimodal Biometric Recognition Multiple Human Trait Feature Palmprint Pattern Palmprint Recognition Robust Human Identification Statistical Analysis Statistics Visual Database Weber Local Descriptor
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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