2014
DOI: 10.6028/nist.ir.8017
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A Measurement Metric for Forensic Latent Fingerprint Preprocessing

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Cited by 5 publications
(4 citation statements)
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“…Recently, the use of SIVV was modified and extended to measure latent fingerprint image quality and the effectiveness of the forensic latent fingerprint preprocessing step , because latent fingerprint images are commonly corrupted by background noise and ridge structures are often not clearly visible or incomplete. Therefore, the local region containing latent fingerprint signals in the spatial domain was proposed as the region of interest (ROI) to focus on . In addition, a peak location constraint focusing on a small window, containing the ridge and furrow spike in the frequency domain was also introduced .…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Recently, the use of SIVV was modified and extended to measure latent fingerprint image quality and the effectiveness of the forensic latent fingerprint preprocessing step , because latent fingerprint images are commonly corrupted by background noise and ridge structures are often not clearly visible or incomplete. Therefore, the local region containing latent fingerprint signals in the spatial domain was proposed as the region of interest (ROI) to focus on . In addition, a peak location constraint focusing on a small window, containing the ridge and furrow spike in the frequency domain was also introduced .…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, the local region containing latent fingerprint signals in the spatial domain was proposed as the region of interest (ROI) to focus on . In addition, a peak location constraint focusing on a small window, containing the ridge and furrow spike in the frequency domain was also introduced .…”
Section: Methodsmentioning
confidence: 99%
“…Focusing on the conversion of a 3D fingerprint to a 2D flat image, pre-processing may be necessary to improve the quality of the image as explained in [58]. Several unrolling algorithms have been proposed which can unwrap 3D images.…”
Section: Related Workmentioning
confidence: 99%
“…Two‐way analysis of variance (ANOVA) and Fisher's least significant difference (LSD) test were used to compare the quality of the images visualized using aluminum with the images captured using coated aluminum, ground glass diffuser, and opal diffuser. The image quality was evaluated using Spectral Image Validation and Verification (SIVV) software .…”
mentioning
confidence: 99%