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- W2293121657 abstract "Nowadays user authentication is done by providing a user name and password in most cases and signature in banking sector. But this system is very easy and simple to crack, by trying out different passwords randomly. To eliminate these threats a secure way of authenticating the user is proposed in this paper. We collect user’s signature initially and train the system with the captured signature using Hidden Markov Model. This signature is then verified by the system whenever the user tries to login. Also after the verification of signature, OTP is generated which has six digit combination of words and numeric. The first three digits are generated by the server itself and the remaining three digits are typed-in by the user. The signature can be obtained using either mouse or digital pen which reduces cost of implementation." @default.
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- W2293121657 date "2015-05-02" @default.
- W2293121657 modified "2023-09-27" @default.
- W2293121657 title "Digital Signature Verification with OTP Generation based on Hidden Markov Model" @default.
- W2293121657 doi "https://doi.org/10.15520/jccst.2015.vol5.iss05.52" @default.
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