NDLI: Hierarchical fingerprint quality estimation scheme

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2010 International Conference On Computer Design and Applications

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Hierarchical fingerprint quality estimation scheme

Content Provider	IEEE Xplore Digital Library
Author	Saquib, Z. Soni, S.K. Vig, R.
Copyright Year	2010
Description	Author affiliation: Department of Electronics & Telecommunications, MPSTME, NMIMS Mumbai, India (Vig, R.) \|\| Biometrics Division, C-DAC Mumbai, India (Saquib, Z.; Soni, S.K.)
Abstract	The performance of an automatic fingerprint authentication system relies heavily on the quality of the captured fingerprint images. The error rates of such systems can significantly be decreased just by detecting and removing poor quality images right at the early stages. In this paper, an effective quality estimation scheme is proposed, which performs analysis in hierarchical fashion. This multilayered quality analysis comprises eight quality measures, three at global level (whole image)) and five at local level (block-wise), each one giving its respective quality score. The scores at their respective levels are fused into a single quality score by their corresponding fusion engines at two different levels. Fusion engines are based on the ‘Weighted Sum rule’. The scheme is also evaluated using ‘Sum rule’. The proposed scheme is experimented against fingerprint Verification Competition (FVC 2004) datasets. The experimental results show that this arrangement could correctly estimate and assign grades (good/acceptable/poor) to nearly 95% images in the dataset. Also, it is observed that this novel fusion-based hierarchical quality assessment model estimates fingerprint quality more effectively with ‘weighted sum rule’ than ‘sum rule’ and their individual counterparts.
File Size	4028358
File Format	PDF
ISBN	9781424471645
e-ISBN	9781424471645
DOI	10.1109/ICCDA.2010.5540717
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Hierarchical quality assessment scheme Image analysis Error analysis Image matching Fingerprint recognition Quality assessment Performance analysis Telecommunication computing Fusion Engines Frequency domain analysis
Content Type	Text
Resource Type	Article

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