NDLI: Method for using visible ocular vasculature for mobile biometrics

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Method for using visible ocular vasculature for mobile biometrics

Content Provider	IET Digital Library
Author	Gottemukkula, Vikas Saripalle, Sashi Tankasala, Sriram P. Derakhshani, Reza
Abstract	Securing personal information on handheld devices, especially smartphones, has gained a significant interest in recent years. Yet, most of the popular biometric modalities require additional hardware. To overcome this difficulty, the authors propose utilising the existing visible light cameras in mobile devices. Leveraging visible vascular patterns on whites of the eye, they develop a method for biometric authentication suitable for smartphones. They start their process by imaging and segmenting whites of the eyes, followed by image quality assessment. The authors’ stage 1 matcher is a three-step process that entails extracting interest points [Harris–Stephens, features from accelerated segment test, and speeded up robust features (SURF)], building features (SURF and fast retina keypoint) around those points, and match score generation using random sample consensus-based registration. Stage 2 matcher uses registered Gabor phase filtered images to generate orientation of local binary pattern features for its correlation-based match metric. A fusion of stage 1 and stage 2 match scores is calculated for the final decision. Using a dataset of 226 users, the authors’ results show equal error rates as low as 0.04% for long-term verification tests. The success of their framework is further validated on UBIRIS v1 database.
Starting Page	3
Ending Page	12
Page Count	10
ISSN	20474938
Volume Number	5
e-ISSN	20474946
Issue Number	Issue 1, Mar (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/5/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2014.0059
Journal	IET Biometrics
Publisher Date	2016-03-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biometric Authentication Biomimetics Computer Vision And Image Processing Technique Correlation Theory Correlation-based Match Metric Feature Extraction Gabor Filter Handheld Device Image Filtering Image Fusion Image Matching Image Quality Assessment Image Registration Local Binary Pattern Feature Orientation Match Score Generation Mobile Biometrics Mobile Computing Mobile Device Optical, Image And Video Signal Processing Personal Information Security Pervasive Computing Random Processes Random Sample Consensus-based Registration Registered Gabor Phase Filtered Image Smart Phone Smart Phones Statistics Ubiquitous UBIRIS V1 Database Video Cameras Visible Light Camera Visible Ocular Vasculature Visible Vascular Pattern
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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