NDLI: Fingerprint orientation field regularisation via multi-target regression

Content Provider	IET Digital Library
Author	Lin, Lu Liu, Eryun Wang, Lianghao Zhang, Ming
Abstract	Orientation field estimation is a key step in fingerprint feature extraction and recognition. A complete orientation field estimation algorithm usually consists of two steps, i.e. initial orientation field estimation and post regularisation. In this Letter, a multi-target regression model to regularise the initial orientation field is proposed. A large number of orientation patches with simulated noises, together with their regression targets are fed to a deep neural networks to train a multi-target regression model. For a given initial orientation field at testing stage, a refined orientation field is obtained by applying the regression model in patch-wise and then combining all predicted patches. Experimental results on FVC2002, FVC2004 and FVC2006 databases show remarkable performance compared with state of the art algorithms. Our algorithm is also highly efficient and easy to implement.
Starting Page	1118
Ending Page	1120
Page Count	3
ISSN	00135194
Volume Number	52
e-ISSN	1350911X
Issue Number	Issue 13, Jun (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/52/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2015.4483
Journal	Electronics Letters
Publisher Date	2016-06-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Deep Neural Network Feature Extraction Fingerprint Feature Extraction Fingerprint Feature Recognition Fingerprint Identification Fingerprint Orientation Field Regularisation FVC2002 Database FVC2004 Database FVC2006 Database Image Recognition Multitarget Regression Model Neural Computing Technique Neural Nets Orientation Field Estimation Orientation Patches Regression Analysis Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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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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