Entry Zirkind:2007:ADC from siggraph2000.bib

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BibTeX entry

@Article{Zirkind:2007:ADC,
  author =       "Givon Zirkind",
  title =        "{AFIS} data compression: an example of how domain
                 specific compression algorithms can produce very high
                 compression ratios",
  journal =      j-COMP-GRAPHICS,
  volume =       "41",
  number =       "4",
  pages =        "1--36",
  month =        nov,
  year =         "2007",
  CODEN =        "CGRADI, CPGPBZ",
  DOI =          "https://doi.org/10.1145/1331098.1331103",
  ISSN =         "0097-8930",
  bibdate =      "Wed Jun 18 10:13:23 MDT 2008",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/siggraph2000.bib",
  abstract =     "This article describes the development and
                 implementation of a data compression algorithm designed
                 specifically for fingerprints, referred to as GBP
                 compression. The algorithm is herein discussed. Data
                 Compression algorithms can be designed for general
                 applications, meaning the input data is unknown. This
                 is more commonly referred to as generic data. [LI01]
                 Or, data compression algorithms can be designed for
                 specific applications. E.g. AFIS [Automated Fingerprint
                 Identification Systems] 'When the input is known,
                 higher compression ratios can be achieved with the
                 knowledge of the input data stream.' To-date, the
                 highest compression ratio for an unknown input data
                 stream, for all data compression algorithms, is JPEG
                 with an average compression ratio range of 1:17 ---
                 1:23. [PEN03] The algorithm herein discussed, has a
                 compression ratio range of 1:68 --- 1:92. There is a
                 value, time and place for each design method ---
                 generic or specific --- depending upon a variety of
                 factors. Due to the nature of the use of AFIS for law
                 enforcement and incrimination as well as criminal
                 conviction, there are social issues that make data
                 integrity of paramount concern. This factor influences
                 algorithm selection and design. A lossless algorithm is
                 a must! Also, the nature of AFIS is such that it
                 operates across borders and between states,
                 municipalities and jurisdictions. In addition to the
                 usual issues and resistance to accepting new
                 technology, including software [e.g. resistance to
                 change, fear of system failure, etc.], there are the
                 issues of changing engineering standards [hardware and
                 software] which are governmentally determined as well
                 as governmental policy decisions. Likewise, the
                 portability required in implementing a new algorithm,
                 will have to deal with a variety of hardware and
                 software; as well as be designed to integrate into
                 existing systems. This integration must include the
                 ability to incorporate existing JPEG data files, from
                 existing police databases. This requires a handshaking
                 of standards and conversion programs that maintain data
                 integrity. In addition, there is an in depth discussion
                 of the limits of compression with a novel
                 perspective.",
  acknowledgement = ack-nhfb,
  fjournal =     "Computer Graphics",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?idx=J166",
  keywords =     "AFIS; automated fingerprint identification systems;
                 compatibility; compression; data compression; data
                 encryption; data integrity; double compression;
                 fingerprinting; graphics; image compression; image
                 quality; limits of compression; portability;
                 retrofitting; serial compression; software
                 engineering",
}

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