Smart Secured Wireless ATM using Finger Print Recognition
Manjari Jain1, Sagar2, Saravanan K3
1Manjari Jain*, Bachelor of Technology Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, (Tamil Nadu), India.
2Sagar, Bachelor of Technology Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, (Tamil Nadu), India.
3Saravanan K, Professor, School of Electronics Engineering, Vellore Institute of Technology, Vellore, (Tamil Nadu), India.
Manuscript received on May 02, 2020. | Revised Manuscript received on May 18, 2020. | Manuscript published on June 10, 2020. | PP: 70-78 | Volume-9 Issue-8, June 2020. | Retrieval Number: 100.1/ijitee.H6165069820 | DOI: 10.35940/ijitee.H6165.069820
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Automated Teller Machines (ATMs) have become an essential part of the individual’s daily routine as it is utilized to change one’s existing ATM Personal Identification Number (PIN), check one’s amount balance and its most important function is to extract one’s money. Nowadays, the culprits have the latest technologies at their disposal, which aids them, to easily hack into the secured systems of the banks and collect the confidential information of the clients such as their ATM PINs, Card Details, etc., To counter that, fingerprint sensing incorporated with One Time Passwords (OTPs) has been suggested, as it is globally accepted that the fingerprints of every person are unique and different, while OTPs don’t hold its value like ATM PINs. This research is based on using Python Graphical User Interface (GUI) as the ATM screen. The innovation in this study exists in two ways. The first one is that OTPs will be sent via Python Graphical User Interface (GUI), on the client’s registered email address also (along with the client’s recorded phone number), so that OTPs can still be accessed in case of Subscriber Identity Modules (SIMs) lost. The second one is that including a Uniform Resource Allocator (URL: www.msbank.co.in) for online enrollments of the clients and producing Application Program Interfaces (APIs). The main idea is to first check the client’s fingerprints and then to verify the OTPs from our Admin-Password Protected Mongo Database. The involved algorithm also maintains a check that the same email address cannot be utilized again for registration.
Keywords: APIs, Fingerprint, MongoDB Python GUI.
Scope of the Article: Pattern Recognition