Fingerprint Based Attendance

Fingerprint Based Attendance

Fingerprint Based Attendance

Abstract of Student Project On Fingerprint Based Attendance System

Student Project On Fingerprint Based Attendance System

Student Project On Fingerprint Based Attendance System proposed system introduces a new automatic attendance management system, which integrates fingerprint authentication into the process of attendance management for both staff and student. In many institutions and organizations, student and staff attendance is taken seriously as most management frown at absenteeism and sanction the individuals involved.
 Traditionally, the method of attendance taking used to be done manually using a physical register booklet. This method is prone to manipulation and impersonation. 
These include clocking machine, RFID, biometrics, etc. While the clocking machine and RFID methods could not solve the problem of impersonation properly, some people fear the health effects of the use of biometrics like iris and facial scanner.
Therefore, this paper presents a fingerprint attendance system designed to also operate as a standalone and handheld system without the use of a computer, unlike other fingerprint attendance systems.
The term ‘biometrics’ refers to a measurable characteristic that is unique to an individual such as fingerprints, facial structure, the iris or a person’s voice.
This paper presents a fingerprint based biometric system that records the attendance of a person by using a hand held fingerprint sensor. 

System Configuration

H/W System Configuration
Speed                   : 1.1 GHz
RAM                      : 256 MB(min)
Hard Disk              : 20 GB
Floppy Drive          : 1.44 MB
Key Board             : Standard Windows Keyboard
Mouse                  : Two or Three Button Mouse
Monitor                : SVGA
S/W System Configuration
Platform                     :  IOT

Operating system       : Windows Xp,7,
Server                       : WAMP/Apache
Working on                : Browser Like Firefox, IE



Biometric technology is an effective tool to verify identity and detect fraudulent issues. Analysis confirmed that the biometric data can be set and confirm the identity of the user. Expanding the use of biometrics will enhance the ability to detect fraudulent issues in the presence of the students in class or employees in an organization. In terms of efficiency and performance, the present work has provided a comparison with the traditional methods attendance system.

This system is user-friendly and very reliable. The attendance management system can be improved by adding the features that indicate if the employee or student is late. 

Some of the future enhancements for this are to extend the current flash memory to store the complete details of the student.