Enhancement of an Automatic Fingerprint Identification System Using a Genetic Algorithm and Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{chaiyaratana:evows06,
  author =       "Wannasak Wetcharaporn and Nachol Chaiyaratana and 
                 Sanpachai Huvanandana",
  title =        "Enhancement of an Automatic Fingerprint Identification
                 System Using a Genetic Algorithm and Genetic
                 Programming",
  booktitle =    "Applications of Evolutionary Computing,
                 EvoWorkshops2006: {EvoBIO}, {EvoCOMNET}, {EvoHOT},
                 {EvoIASP}, {EvoInteraction}, {EvoMUSART}, {EvoSTOC}",
  year =         "2006",
  month =        "10-12 " # apr,
  editor =       "Franz Rothlauf and Jurgen Branke and 
                 Stefano Cagnoni and Ernesto Costa and Carlos Cotta and 
                 Rolf Drechsler and Evelyne Lutton and Penousal Machado and 
                 Jason H. Moore and Juan Romero and George D. Smith and 
                 Giovanni Squillero and Hideyuki Takagi",
  series =       "LNCS",
  volume =       "3907",
  publisher =    "Springer Verlag",
  address =      "Budapest",
  publisher_address = "Berlin",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-33237-5",
  pages =        "368--379",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=3907&spage=368",
  abstract =     "the use of a genetic algorithm and genetic programming
                 for the enhancement of an automatic fingerprint
                 identification system (AFIS). The recognition engine
                 within the original system functions by transforming
                 the input fingerprint into a feature vector or finger
                 code using a Gabor filter bank and attempting to create
                 the best match between the input fingercode and the
                 database fingercodes. A decision to either accept or
                 reject the input fingerprint is then carried out based
                 upon whether the norm of the difference between the
                 input fingercode and the best-matching database
                 fingercode is within the threshold or not. The efficacy
                 of the system is in general determined from the
                 combined true acceptance and true rejection rates. In
                 this investigation, a genetic algorithm is applied
                 during the pruning of the fingercode while the search
                 by genetic programming is executed for the purpose of
                 creating a mathematical function that can be used as an
                 alternative to the norm operator. The results indicate
                 that with the use of both genetic algorithm and genetic
                 programming the system performance has improved
                 significantly.",
  notes =        "part of \cite{evows06}",
}

Genetic Programming entries for Wannasak Wetcharaporn Nachol Chaiyaratana Sanpachai Huvanandana

Citations