NDLI: Fingerprint liveness detection based on binarized statistical image feature with sampling from Gaussian distribution

Content Provider	IEEE Xplore Digital Library
Author	Qiaoqiao Li Chan, P.P.K.
Copyright Year	2014
Description	Author affiliation: Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China (Qiaoqiao Li; Chan, P.P.K.)
Abstract	Fingerprint detection has been applied in many security applications due to its satisfying performance. Its popularity also attract the attack from an adversary who uses artificial fingerprint made of Play-Doh or silicon to mislead the decision of the system. Recently, the liveness fingerprint detection using the textural measures based on the descriptor named Binarized Statistical Image Features (BSIF). BSIF is calculated for every pixel in a fingerprint image. However, we believe that the pixels in the middle of the fingerprint contain more information than the ones in the edge. As a result, we propose a revised liveness fingerprint detection based on BSIF with sampling from Gaussian distribution. According to the Gaussian distribution, more pixels in the middle will be sampled in comparison with the ones at the edge. The experimental results show that the proposed method is more accurate than the traditional one. It may suggests that the pixels in the middle are more informative than the ones at the edge for liveness detection.
Starting Page	13
Ending Page	17
File Size	3464493
Page Count	5
File Format	PDF
ISBN	9781479942121
ISSN	21585695
e-ISBN	9781479942114
DOI	10.1109/ICWAPR.2014.6961283
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood detection BSIF Fingerprint liveness detection Image edge detection Nonlinear filters Fingerprint recognition Gaussian distribution Feature extraction
Content Type	Text
Resource Type	Article

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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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