NDLI: Fast and efficient minutia-based palmprint matching

Content Provider	IET Digital Library
Author	Soleimani, Hossein Ahmadi, Mohsen
Abstract	Using the palmprint in recognition systems has received a lot of interest during the last two decades. Some of these systems are based on first-level features, such as the existing lines and creases in palmprint images, and others use second-level features, such as minutiae, which are more reliable in comparison with the first group. Owing to a large number of minutiae in a palmprint, ∼1000 minutiae, the matching process is time consuming. In this study, a new minutia-based matching strategy is proposed to make the matching process faster and more efficient. First, an orientation field estimation algorithm based on region-growing is proposed, which emphasises selecting seed points with higher quality. Second, the estimated orientation field is used to align palmprint images to the same coordinate system, resulting in fewer computations during minutia matching. Finally, a new minutia descriptor based on the orientation field is designed to distinguish minutiae with different local orientation structures. This descriptor helps to find two mated minutiae much faster, speeding up the matching process. The proposed palmprint matching algorithm has been evaluated on the THUPALMLAB database, and the results show the superiority of the proposed algorithm over most of the state-of-the-art algorithms.
Starting Page	573
Ending Page	580
Page Count	8
ISSN	20474938
Volume Number	7
e-ISSN	20474946
Issue Number	Issue 6, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/7/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2017.0128
Journal	IET Biometrics
Publisher Date	2018-03-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique First-level Feature Image Matching Image Recognition Minutia Descriptor Minutia-based Palmprint Matching Algorithm Orientation Field Estimation Algorithm Palmprint Recognition Second-level Feature THUPALMLAB Database
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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