DocumentCode :
1934992
Title :
Internal fingerprint acquisition from optical coherence tomography fingertip scans
Author :
Darlow, Luke Nicholas ; Akhoury, Sharat Saurabh ; Connan, James
Author_Institution :
Modelling & Digital Sci., Pretoria, South Africa
fYear :
2015
fDate :
3-5 Feb. 2015
Firstpage :
188
Lastpage :
191
Abstract :
Current surface fingerprint scanners measure the surface topography of skin, resulting in vulnerabilities to surface skin erosion, distortion due to contact with the scanner, and fingerprint counterfeiting. An improved means of fingerprint acquisition is necessitated in these facts. By employing an imaging technique known as Optical Coherence Tomography to the human fingertip skin, a three-dimensional digital reconstruction of subsurface layers of skin can be used for the extraction of an internal fingerprint. The internal fingerprint is robust towards counterfeiting, damage, and distortion, thus providing a replacement for the surface fingerprint. However, OCT scans are corrupted by speckle noise and have low contrast, resulting in a poor quality fingerprint representation. This research applies image enhancement procedures to OCT scan images to improve internal fingerprint quality. Furthermore, a novel internal fingerprint mapping technique is presented: papillary junction detection followed by defined region mapping. With a RMS-contrast improvement of 97%, this technique yields a much higher quality internal fingerprint when compared to previous techniques.
Keywords :
fingerprint identification; image denoising; image enhancement; image reconstruction; optical tomography; skin; Internal fingerprint acquisition; human fingertip skin; image enhancement; imaging technique; internal fingerprint; optical coherence tomography fingertip scans; papillary junction detection; skin subsurface layers; speckle noise; surface topography; three-dimensional digital reconstruction; Adaptive optics; Biomedical optical imaging; Coherence; Junctions; Optical imaging; Speckle; Tomography; Image denoising; Image enhancement; Image segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Information, Networking, and Wireless Communications (DINWC), 2015 Third International Conference on
Conference_Location :
Moscow
Print_ISBN :
978-1-4799-6375-1
Type :
conf
DOI :
10.1109/DINWC.2015.7054241
Filename :
7054241
Link To Document :
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