“…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.…”