LEADER 02307aam 2200409I 450 001 9910710796703321 005 20120906044943.0 024 8 $aGOVPUB-C13-12b3b94b311e9223bef2c5fc1c6efd2f 035 $a(CKB)5470000002478335 035 $a(OCoLC)809279002 035 $a(EXLCZ)995470000002478335 100 $a20120906d2012 ua 0 101 0 $aeng 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 03$aAn exploration of the operational ramifications of lossless compression of 1000 ppi fingerprint imagery /$fShahram Orandi 210 1$aGaithersburg, MD :$cU.S. Dept. of Commerce, National Institute of Standards and Technology,$d2012. 215 $a1 online resource (52 pages) $cillustrations, tables 225 1 $aNISTIR ;$v7779 300 $aAugust 2012 300 $aContributed record: Metadata reviewed, not verified. Some fields updated by batch processes. 320 $aIncludes bibliographical references pages 41-42. 330 $aThis 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 rate 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. 606 $aFingerprints 606 $aImage compression 615 0$aFingerprints. 615 0$aImage compression. 701 $aOrandi$b Shahram$01391876 712 02$aNational Institute of Standards and Technology (U.S.) 801 0$bNBS 801 1$bNBS 801 2$bGPO 906 $aBOOK 912 $a9910710796703321 996 $aAn exploration of the operational ramifications of lossless compression of 1000 ppi fingerprint imagery$93533037 997 $aUNINA