Indian Journal of Science and Technology

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The traditional Automatic Teller Machine (ATM) terminal customer recognition systems only rely on bank cards, passwords, and such identity verification methods which measures are not perfect and functions are too single. For solving the bugs of traditional ones, using a Biological Technology in new ATM terminal customer recognition systems (i.e.) fingerprint Mechanism. The chip of S3C2440 is used for the core of microprocessor in ARM9, furthermore, an improved enhancement algorithm of fingerprint image increase the security that customer use the ATM machine.

Keywords

ATM Terminal, ARM9, Fingerprint Recognition, Image Enhancement, Gabor Filtering
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