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Novelty Detection‐Based Internal Fingerprint Segmentation in Optical Coherence Tomography Images
[chapter]
2017
Computed Tomography - Advanced Applications
Biometric fingerprint scanners scan the external skin's features onto a 2-D image. The performance of the automatic fingerprint identification system suffers first and foremost if the finger skin is wet, worn out or a fake fingerprint is used. We present an automatic segmentation of the papillary layer method, from images acquired using contact-less 3-D swept source optical coherence tomography (OCT). The papillary contour represents the internal fingerprint, which does not suffer from the
doi:10.5772/67594
fatcat:gzxfvf2itrcujbxg2be3rqmvzq