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Lip traces recognition based on lines pattern

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a method for automatic lip traces recognition based on lip furrows arrangement. First, lip trace is scanned and subjected to image processing and feature extraction. Then, identification is performed by comparing lip trace characteristics with a collection of comparative lip prints characteristics stored in a database. The proposed solution gives a satisfactory level of identification accuracy. After further improvement, it can be used as part of a system performing analysis of traces recovered from crime scenes.
Rocznik
Tom
Strony
53--60
Opis fizyczny
Bibliogr. 9 poz., rys., tab.
Twórcy
autor
  • Computer Systems Department, Institute of Computer Science, University of Silesia, Poland
Bibliografia
  • [1] TSUCHIHASHI Y., Studies on personal identification by means of lip prints, Forensic Science, 1974, pp. 127–231.
  • [2] KASPRZAK J., Lip lines – biological characteristics and their significance in human identification, Forensic Issues, 1984, pp. 89–92 (in Polish).
  • [3] ENDRIS R., POETACH–SCHNEIDER L., Human lips and nails in identification, Archives of Criminology, 1985, pp. 13–20 (in German).
  • [4] KASPRZAK J., Cheiloscopy, Forensic Science International, 2000, pp. 358–362.
  • [5] KASPRZAK J., ŁĘCZYŃSKA B., Cheiloscopy. Human identification on the basis of lip print, Central Forensic Laboratory of Polish Police, 2001 (in Polish).
  • [6] SHARMA P., SAXENA S., RATHOD V., Comparative reliability of cheiloscopy and palatoscopy in human identification, Indian Journal of Dental Research, Vol. 20, Issue 4, 2009, pp. 453–457.
  • [7] CHORAS M., The lip as a biometric, Pattern Analysis and Applications, Vol. 13, No. 1, 2010, pp. 105–112.
  • [8] SMACKI Ł., PORWIK P., TOMASZYCKI K., KWARCIŃSKA S., The lip print recognition using Hough transform, Journal of Medical Informatics & Technologies, Vol. 14, 2010, pp. 31–38.
  • [9] DOROZ R., PORWIK P., PARA T., WRÓBEL K., Dynamic signature recognition based on velocity changes of some features, International Journal of Biometrics, Vol. 1, No. 1, 2008, pp. 47–62.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0017-0011
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