Automatic Terminal Design Using Fingerprint Recognition System

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Details

With the development of computer network technology and e-commerce, the self-service banking system has got extensive popularization with the characteristic offering high-quality 24 hours service for customer. Nowadays, using the ATM (Automatic Teller Machine) which provides customers with the convenient banknote trading is very common. However, the financial crime case rises repeatedly in recent years; a lot of criminals tamper with the ATM terminal and steal user's credit card and password by illegal means. Traditional ATM systems authenticate generally by using the credit card and the password, the method has some defects. Using Debit/credit card and password can not verify the client's identity exactly. In recent years, the algorithm that the fingerprint recognition continuously updated, which has offered new verification means for us, the original password authentication method combined with the bio-metric identification technology verify the clients identity better and achieve the purpose that use of ATM machines improve the safety effectively.

Autorentext

Il Dr. C Raghavendra è attualmente professore associato presso il Dipartimento CSIT del CVR College of Engineering di Hyderabad. Ha ricoperto diverse posizioni accademiche e amministrative. Come ricercatore devoto, ha presentato e pubblicato 23 articoli di ricerca in riviste rinomate e 7 conferenze. È autore di 7 libri e ha 4 brevetti al suo attivo.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786202079426
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 92
    • Genre Software
    • Sprache Englisch
    • Gewicht 155g
    • Autor Raghavendra Chilamakur
    • Größe H220mm x B150mm x T6mm
    • Jahr 2018
    • EAN 9786202079426
    • Format Kartonierter Einband
    • ISBN 6202079428
    • Veröffentlichung 09.02.2018
    • Titel Automatic Terminal Design Using Fingerprint Recognition System

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