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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.