Tools for quality control of fingerprint databases

B. Scott Swann; John M. Libert; Margaret A. Lepley

doi:10.1117/12.850237

14 April 2010 Tools for quality control of fingerprint databases

B. Scott Swann, John M. Libert, Margaret A. Lepley

Proceedings Volume 7667, Biometric Technology for Human Identification VII; 766709 (2010) https://doi.org/10.1117/12.850237
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Integrity of fingerprint data is essential to biometric and forensic applications. Accordingly, the FBI's Criminal Justice Information Services (CJIS) Division has sponsored development of software tools to facilitate quality control functions relative to maintaining its fingerprint data assets inherent to the Integrated Automated Fingerprint Identification System (IAFIS) and Next Generation Identification (NGI). This paper provides an introduction of two such tools. The first FBI-sponsored tool was developed by the National Institute of Standards and Technology (NIST) and examines and detects the spectral signature of the ridge-flow structure characteristic of friction ridge skin. The Spectral Image Validation/Verification (SIVV) utility differentiates fingerprints from non-fingerprints, including blank frames or segmentation failures erroneously included in data; provides a "first look" at image quality; and can identify anomalies in sample rates of scanned images. The SIVV utility might detect errors in individual 10-print fingerprints inaccurately segmented from the flat, multi-finger image acquired by one of the automated collection systems increasing in availability and usage. In such cases, the lost fingerprint can be recovered by re-segmentation from the now compressed multi-finger image record. The second FBI-sponsored tool, CropCoeff was developed by MITRE and thoroughly tested via NIST. CropCoeff enables cropping of the replacement single print directly from the compressed data file, thus avoiding decompression and recompression of images that might degrade fingerprint features necessary for matching.

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B. Scott Swann, John M. Libert, and Margaret A. Lepley "Tools for quality control of fingerprint databases", Proc. SPIE 7667, Biometric Technology for Human Identification VII, 766709 (14 April 2010); https://doi.org/10.1117/12.850237

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KEYWORDS

Image segmentation

Image quality

Image compression

Biometrics

Image processing

Databases

Iris

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