A framework of biometric recognition and personalized mobile application to establish a dynamic connection with the ATM to enable secure transaction
| dc.contributor.advisor | Rahman, Md. Khalilur | |
| dc.contributor.author | Tasnim, Syeda Prima | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| dc.date.accessioned | 2019-09-01T09:43:22Z | |
| dc.date.available | 2019-09-01T09:43:22Z | |
| dc.date.copyright | 2019 | |
| dc.date.issued | 2019-08 | |
| dc.description | Cataloged from PDF version of internship report. | |
| dc.description | Includes bibliographical references (page 28-30). | |
| dc.description | This project report is submitted in partial fulfilment of the requirements for the degree of Master of Engineering in Computer Science and Engineering, 2019. | en_US |
| dc.description.abstract | Secure transaction of money is the prime concern of banking industries for establishing a strong banking network worldwide. By the vast uses of Automated Teller Machine (ATM) in this industry transaction of money has become easier for the customers. But the system needs more secure transaction method for avoiding unwanted incidents. Smart and secure transaction through ATM is the thing people want now a days. For making the transaction through ATM more reliable as well as smart a biometric based system along with an android application has been approached in this research paper. The system consists of a fingerprint-based device which is connected with the ATM software and a personalized mobile application for user. Using the application customer can make a 1:1 connection with the ATM software. For transaction customer can control the account using the mobile application and make transaction command which is also connected with the central server. At the very last stage customer needs to give finger print on the designated device for verifying the account holder’s presence during the transaction. In this way the less safe ATM card system can be replaced with a smart and secure system. Testing of the system using a custom-made ATM software along with fingerprint sensor justify the authenticity as well as efficiency of the system. | en_US |
| dc.description.degree | M. Computer Science and Engineering | |
| dc.description.statementofresponsibility | Syeda Prima Tasnim | |
| dc.format.extent | 30 pages | |
| dc.identifier.other | ID 16366008 | |
| dc.identifier.uri | http://hdl.handle.net/10361/12513 | |
| dc.language.iso | en | en_US |
| dc.publisher | Brac University | en_US |
| dc.rights | Brac University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
| dc.subject | Fingerprint sensor | en_US |
| dc.subject | ATM banking | en_US |
| dc.subject | Mobile application | en_US |
| dc.subject.lcsh | Electronic commerce--Security measures. | |
| dc.subject.lcsh | Biometric identification. | |
| dc.title | A framework of biometric recognition and personalized mobile application to establish a dynamic connection with the ATM to enable secure transaction | en_US |
| dc.type | Project Report | en_US |