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An Exploration of the Operational Ramifications of Lossless Compression of 1000 ppi Fingerprint Imagery

Published

Author(s)

Shahram Orandi, John M. Libert, John D. Grantham, Kenneth Ko, Stephen S. Wood, Jin Chu Wu, Lindsay M. Petersen, Bruce Bandini

Abstract

This paper presents the findings of a study initially conducted to measure the operational impact of JPEG 2000 lossy compression on 1000 ppi fingerprint imagery at various levels of compression, but later expanded to include lossless compression. Lossless compression will have no impact on either Galton or non-Galton based features of a fingerprint since the compressed image is identical to the original once decompressed. The selection of a lossless compression algorithm can have operational implications in terms of effective compression performance and throughput; these implications are the focus. This study examines several such compression algorithms and compares them using criteria used to measure the effectiveness of the compression algorithm as well as its throughput using actual fingerprint imagery.
Citation
NIST Interagency/Internal Report (NISTIR) - 7779
Report Number
7779

Keywords

Fingerprint compression, 1000 ppi fingerprint imagery, JPEG 2000, JasPer, OpenJPEG, PNG, BMP/RLE, ICER, lossless compression

Citation

Orandi, S. , Libert, J. , Grantham, J. , Ko, K. , Wood, S. , , J. , Petersen, L. and Bandini, B. (2012), An Exploration of the Operational Ramifications of Lossless Compression of 1000 ppi Fingerprint Imagery, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.7779 (Accessed October 15, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created August 6, 2012, Updated November 10, 2018