Paper
28 March 2005 A novel measure of fingerprint image quality using the Fourier spectrum
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Abstract
The purpose of this study is to quantitatively analyze the effect of fingerprint image quality on the performance of fingerprint recognition, in order to improve the identification capability of fingerprint recognition systems. In addition, this study proposes a new measure of fingerprint image quality using the Fourier spectrum. The proposed method measures the fingerprint image quality based on the global characteristics of the image. The experimental results demonstrate that the proposed algorithm shows better performance in the quality classification of fingerprint images than the existing algorithms, and this leads to a 6% improvement in the false rejection rate.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bongku Lee, Jihyun Moon, and Hakil Kim "A novel measure of fingerprint image quality using the Fourier spectrum", Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); https://doi.org/10.1117/12.604294
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CITATIONS
Cited by 19 scholarly publications.
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KEYWORDS
Image quality

Quality measurement

Detection and tracking algorithms

Fingerprint recognition

Image filtering

Image segmentation

Image processing

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