Fingerprint Based Door Lock System.


  • A.T.M. Mustafa Masud Chowdhury Department of Computer Science and Engineering, Southern University of Bangladesh.



Biometrics, Fingerprint, RFID, Alarm, Security, Authentication


Security measures have assumed a pivotal role in various settings such as offices, institutions, libraries, and laboratories. Their purpose is to safeguard confidential data from unauthorized access by third parties. In contemporary times, it is imperative to have security systems in place at all times to safeguard valuable data and financial assets. The present study introduces a door opening system that utilizes fingerprint recognition technology to enhance security measures. This system has potential applications in a variety of settings, including financial institutions, educational institutions, and other organizations. Various authentication methods such as password and RFID exist, however, this particular method is deemed to be the most efficient and dependable. This project is utilizing two distinct technologies, namely embedded systems and biometrics, in order to enhance the security of bank lockers and streamline operational processes. The prevention of unauthorized access is achieved through the implementation of a locking mechanism that securely stores the biometric data of one or more authorized individuals. The process of authentication involves the sensing of a fingerprint by a sensor, which is subsequently validated. In the event of a successful fingerprint match, the door will be unlocked through an automated process. Conversely, if the fingerprint does not match, an audio amplifier will activate a buzzer to alert individuals in the vicinity.


Author Biography

A.T.M. Mustafa Masud Chowdhury, Department of Computer Science and Engineering, Southern University of Bangladesh.

A.T.M. Mustafa Masud Chowdhury is a BSc student in the Department of Computer Science and Engineering at the Southern University of Bangladesh. He is an early-stage researcher working since 2020, an active member of the programming problem solve and computer club besides research and guiding B.Sc final year students of his department for comparative research. His areas of interest are Artificial Intelligence, Machine Learning, and IoT Solutions. With a background in system analysis and engineering design. A.T.M. has constructed a solid paradigm to meet the need for an AI-driven society. His contact email address:




How to Cite

Chowdhury, A. M. M. (2023). Fingerprint Based Door Lock System. International Journal of Innovative Engineering (IJIE), 1(1), 8–15.