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Interpolation Technique of Fingerprint Features for Personal Verification

Kazuharu YAMATO, Toshihide ASADA, Yutaka HATA

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Summary :

In this letter we propose an interpolation technique for low-quality fingerprint images for highly reliable feature extraction. To improve the feature extraction rate, we extract fingerprint features by referring to both the interpolated image obtained by using a directional Laplacian filter and the high-contrast image obtained by using histogram equalization. Experimental results show the applicability of our method.

Publication
IEICE TRANSACTIONS on Information Vol.E77-D No.11 pp.1306-1309
Publication Date
1994/11/25
Publicized
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Type of Manuscript
Special Section LETTER (Special Issue on Computer Vision)
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