2020
DOI: 10.31219/osf.io/wxtd9
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Multi-banking automatic teller machine transaction system by utilizing GSM and biometric identification with one single touch

Abstract: Everyone in many banks has many types of bank accounts, people need to bring a lot of ATM cards for their transaction, many types of PINs for each account. In the current system, ATM machine user identification systems depend only on bank ATM cards, safety secret pin code, and also such kind of user ID verification methods which measures are not optimal and sometimes there are incidents where we dismiss our secret security PIN code, lose ATM cards, rob ATM cards, stolen secret PIN code.Weare presenting a fresh… Show more

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“…Dogman's algorithm succeeded in recognizing the iris of the eye, and the Chinese Academy of Sciences' Institute of Automation (CASIA) iris database also succeeded in segmentation, with a success rate of 83% for the user system, so the problem was in the upper and lower eyelids and near the eyelashes. In paper [21] Imam et al found that the traditional ATM system had many problems in terms of security and a large number of bank accounts for a single user and his multiple PINs, so they designed a system based on a GSM fingerprint. They used an optical scanner to take an image of the fingerprint and analyze it.…”
Section: Manish Et Al In the Papermentioning
confidence: 99%
“…Dogman's algorithm succeeded in recognizing the iris of the eye, and the Chinese Academy of Sciences' Institute of Automation (CASIA) iris database also succeeded in segmentation, with a success rate of 83% for the user system, so the problem was in the upper and lower eyelids and near the eyelashes. In paper [21] Imam et al found that the traditional ATM system had many problems in terms of security and a large number of bank accounts for a single user and his multiple PINs, so they designed a system based on a GSM fingerprint. They used an optical scanner to take an image of the fingerprint and analyze it.…”
Section: Manish Et Al In the Papermentioning
confidence: 99%