NDLI: Lightweight Quality Metrics for Smartphone Camera Based Fingerprint Samples

Content Provider	IEEE Xplore Digital Library
Author	Guoqiang Li Bian Yang Busch, C.
Copyright Year	2013
Description	Author affiliation: Norwegian Inf. Security Lab., Gjovik Univ. Coll., Gjøvik, Norway (Guoqiang Li; Bian Yang; Busch, C.)
Abstract	We present in this paper some lightweight metrics for quality assessment of fingerprint samples captured from a general-purposed optical camera using block-based autocorrelation and fast Walsh-Hadamard spectrum features. We generate a feature vector including 6 components in three categories to assess an image block's quality: (1) gray-scale values statistics, (2) autocorrelation based features, (3) Walsh-Hadamard spectrum features from the autocorrelation result. Then a support vector machine is adopted to produce a binary decision whether the image block should be classified as high-quality fingerprint area or not. Finally our approach generates a quality score by counting the high-quality blocks in the sample image. Compared to our previous work [12] on the same topic, this paper uses a more compact feature vector and less computationally-complicated transformation. Experiments demonstrated the proposed metrics' effectiveness.
Starting Page	342
Ending Page	345
File Size	445848
Page Count	4
File Format	PDF
ISBN	9780769551203
DOI	10.1109/IIH-MSP.2013.92
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Correlation smartphone Fingers Fingerprint recognition fingerprint Cameras Vectors Quality assessment quality metrics FWHT
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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