Authors:
En Zhu
1
;
Jianping Yin
1
;
Chunfeng Hu
1
;
Guomin Zhang
1
and
Jianming Zhang
2
Affiliations:
1
School of Computer Science, National University of Defense Technology, China
;
2
Hunan City University; College of Computer and Communication, Hunan University, China
Keyword(s):
Fingerprint segmentation, Recoverable, Remaining ridges.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Segmentation and Grouping
Abstract:
Fingerprint segmentation is usually to identify non-ridge regions and unrecoverable low quality ridge regions and exclude them as background so as to reduce the time of image processing and avoid detecting false features. In ridge regions, including high quality and low quality, there are often some remaining ridges which are the afterimage of the previously scanned finger and are expected to be excluded from the foreground. However, existing segmentation methods do not take the case into consideration, and often, the remaining ridge regions are falsely taken as foreground. This paper proposes two steps for fingerprint segmentation aiming to exclude the remaining ridge region from the foreground. The non-ridge regions and unrecoverable low quality ridge regions are removed as background in the first step, and then the foreground produced by the first step is further analyzed so as to remove the remaining ridge region. The proposed method turns out effective in avoiding detecting fals
e ridges and in improving minutiae detection.
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