[Invited Paper] Recent Advances in Biometric Recognition

Koichi Ito, Takafumi Aoki
<span title="">2018</span> <i title="Institute of Image Information and Television Engineers"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/grfxe6wamvda5l6autaohwjjue" style="color: black;">ITE Transactions on Media Technology and Applications</a> </i> &nbsp;
This paper presents recent advances in biometric recognition, where we focus on face, fingerprint and iris recognition, which are major research topics on biometric recognition. We summarize the research trend of face, fingerprint and iris recognition over the past decade. This paper also presents our activities of biometric recognition. Our approach employs the phase information obtained by Discrete Fourier Transform (DFT) of images. The phase information preserves the inherent features of the
more &raquo; ... image, and its correlation function, called phase correlation or Phase-Only Correlation (POC), gives us both the good similarity measure for biometric recognition and the translational displacement for image registration. Our approach of using phase information has been successfully applied to fingerprint, face, iris, palmprint, finger knuckle and dental recognition. Among them, we present some interesting results of palmprint recognition, finger knuckle recognition and dental recognition.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3169/mta.6.64">doi:10.3169/mta.6.64</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7uc7vzrf35fn5bej2uhcru5c64">fatcat:7uc7vzrf35fn5bej2uhcru5c64</a> </span>
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