A Modified Singular Point Detection Algorithm
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Complementary variance energy for fingerprint segmentation
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
K-means based fingerprint segmentation with sensor interoperability
EURASIP Journal on Advances in Signal Processing
Enhancement of low quality fingerprints based on anisotropic filtering
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Quality-based fingerprint segmentation
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
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Aiming at the segmentation of low quality fingerprint images, a new framework, which is different from traditional methods that usually use some certain features to segment diversified images, is proposed. There are two contributions in this scheme: firstly, we introduce a quality estimation step before segmentation, which can remove a great many false traces effectively; secondly, a new feature Eccentric Moment is proposed to locate the blurry boundary. Then we segment the image using the new block feature of clarified image. Experimental results show that the proposed method can segment low quality fingerprint images properly.