Image Quality Assessment for Fake Biometric Detection

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Details

Biometric is a technological system that utilizations the data about individual to distinguish that individual. This technology store particular information for one of kind organic properties so as to work viably. We can utilize biometric framework at government, organizations and associations for security reason. An airplane terminal checking gadget, a "bio-secret key" framework is a case of a biometric system utilizations the recognizing information for a security result. Be that as it may, we require security for this data and in addition verification of that individual. This novel software based technology help to look at the data of individual is genuine or counterfeit because of that we get last aftereffect of validation. Consequently goal of framework is to enhance well being of biometric acknowledgment system which makes quick, easy to understand and minimal effort using image quality assessment. Here we utilize three application data that are iris, finger print and face recognition. The proposing approach uses general image quality features extracting from single image to distinguish between real and fake sample.

Autorentext

Dr.Priyanka Patil, pursuing her M.D.S. from MGV KBH Dental College & Hospital, Nashik.Dr.Meenal Gulve, Guide,Professor & Head of Dept. of Conservative Dentistry & Endodontics at MGV KBH Dental College & Hospital, Nashik.Dr.Swapnil Kolhe, Professor of Dept. of Conservative Dentistry & Endodontics at MGV KBH Dental College & Hospital, Nashik.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786139585243
    • Genre Elektrotechnik
    • Sprache Englisch
    • Anzahl Seiten 72
    • Größe H220mm x B150mm x T5mm
    • Jahr 2018
    • EAN 9786139585243
    • Format Kartonierter Einband
    • ISBN 6139585244
    • Veröffentlichung 13.04.2018
    • Titel Image Quality Assessment for Fake Biometric Detection
    • Autor Priyanka Patil , Arjun Nichal , Dhanashri Salunkhe
    • Untertitel Image Quality Assessment for Fake Biometric Detection application to Face, Iris & Fingerprint Recognition
    • Gewicht 125g
    • Herausgeber LAP LAMBERT Academic Publishing

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