NDLI: Geometric feature extraction by FTAs for finger-based biometrics system

Content Provider	IET Digital Library
Author	Asaari, Mohd Shahrimie Mohd Suandi, Shahrel Azmin Rosdi, Bakhtiar Affendi
Abstract	In this study, a new geometric feature representation for a single finger geometry recognition based on infrared image is presented. The geometric representation is expressed based on the fingertip angles (FTA) measured from the right and the left finger edges. The extracted FTA feature is transformed into the frequency domain to form Fourier descriptor (FD) vector using discrete Fourier transform. The domain transformation is intended to make feature representation robust to the shifting, rotation and scaling variations. FD vectors from both right and the left contours are fused together to form a single row vector and principal component analysis is adopted to enhance the orthogonality between the FD components. The authors’ experimental results demonstrate the feasibility and the effectiveness of the proposed method.
Starting Page	157
Ending Page	164
Page Count	8
ISSN	20474938
Volume Number	6
e-ISSN	20474946
Issue Number	Issue 3, May (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/6/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2016.0022
Journal	IET Biometrics
Publisher Date	2016-11-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Discrete Fourier Transform Edge Detection FD Vector Feature Extraction Finger Edge Finger-based Biometrics System Fingerprint Identification Fingertip Angles Fourier Descriptor Vector Frequency Domain Frequency Domain Analysis FTA Feature Extraction Geometric Feature Extraction Geometric Feature Representation Image Recognition Infrared Image Infrared Imaging Integral Transforms Mathematical Analysis Principal Component Analysis Rotation Variations Scaling Variations Shifting Variations Single Finger Geometry Recognition Statistics
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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