NDLI: Biometric authentication system using retinal vessel pattern and geometric hashing

Content Provider	IET Digital Library
Author	Bhuiyan, Alauddin Hussain, Akter Mian, Ajmal Wong, Tien Y. Ramamohanarao, Kotagiri Kanagasingam, Yogesan
Abstract	Retinal vascular network pattern is unique to each individual which can be used for person identification in biometric authentication. In this study, the authors have proposed a novel biometric authentication method using retinal vascular branch, bifurcation and crossover points (i.e. feature points). The method automatically extracts the vascular network from colour retinal images and identifies these feature points. The major blood vessels characterised by width and length are identified from the segmented vascular network. For this, a novel vessel width measurement method is applied and vessels more than certain widths are selected as major vessels following an established protocol. The geometric hashing technique is developed to compute the invariant features from these feature points. They consider the feature points from major vessels which will be less susceptible to noise for modelling a basis pair and all other points together for locations in the hash table entries. The models are invariant to rotation, translation and scaling as inherited from geometric hashing. For each person, the system is trained with the models to accept or reject a claimed identity. They have tested their method on 3010 retinal images and achieved 96.64% precision and 100% recall.
Starting Page	79
Ending Page	88
Page Count	10
ISSN	20474938
Volume Number	6
e-ISSN	20474946
Issue Number	Issue 2, Mar (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/6/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2015.0024
Journal	IET Biometrics
Publisher Date	2016-10-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Automatic Vascular Extraction Basis Pair Bifurcation Points Biometric Authentication System Blood Vessel Length Blood Vessel Width Blood Vessels Colour Retinal Image Combinatorial Mathematics Computational Geometry Computer Vision And Image Processing Technique Crossover Points Feature Extraction Feature Point Identification Geometric Hashing Technique Hash Table Entry Location Image Colour Analysis Image Recognition Image Segmentation Invariant Feature Person Identification Precision Value Recall Value Retinal Recognition Retinal Vascular Branch Retinal Vascular Network Pattern Rotation Invariant Model Scaling Invariant Model Translation Invariant Model Vessel Width Measurement Method
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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