Multimodal Biometric Attendance System

5 Pages Posted: 7 Apr 2020

See all articles by Ashish Mishra

Ashish Mishra

Gyan Ganga Institute of Technology and Sciences

Rachana Kamble

Lakshmi Narain College of Technology (LNCT)

Vikas Pare

Lakshmi Narain College of Technology (LNCT)

Rahul Sahu

Lakshmi Narain College of Technology (LNCT)

Date Written: April 4, 2020

Abstract

The most generally utilized techniques for taking attendance in the particular organization or institute is by calling the faculty members and other staff members to physically sign the attendance sheet or using biometric technique thumb reorganization machine which causes queue of faculty and the staff member and taking much more complicated situation arrived so that it was an inconvenient job for the faculties and the staff members. To overcome these daily routine issues it invents an attendance system of the staff in an organization. This invention can be deployed in any type of firm either small or large. The only need is the availability of the smart phone to every employee and availability of firm’s own wireless network in their campus. it develops a smart biometric wireless attendance system which takes participation of understudy and keeping up its presence in a educational establishment without any queue and all. Now a day’s everybody is having a smart phone with android operating system In that we developed an app of wireless attendance system, which is going to be taken a daily picture of the faculty or taking the finger print mark sensor module and every impression and by using wifi it is transfer to the admin data base. Through wireless transfer system attendance reports are saved on the computer system. Toward this path, this task shows a unique finger print based biometric attendance that records the candidates consequently. This record comprises of a unique mark sensor which is utilized to recognize the individual's distinguishing proof. For instance, for getting the participation, the understudy needs to put their finger on the unique mark sensor to get their participation. The caught unique mark is recorded instantly memory and checked each opportunity to discover whether the unique finger print matches with record in the blaze memory after which the understudy get their participation.

Keywords: Android operating system, Fingerprint sensor, Face detection technique, Zigbee and GSM Modules

Suggested Citation

Mishra, Ashish and Kamble, Rachana and Pare, Vikas and Sahu, Rahul, Multimodal Biometric Attendance System (April 4, 2020). Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at SSRN: https://ssrn.com/abstract=3568531 or http://dx.doi.org/10.2139/ssrn.3568531

Ashish Mishra (Contact Author)

Gyan Ganga Institute of Technology and Sciences ( email )

Near Bargi Hills
Jabalpur, 482001
India

Rachana Kamble

Lakshmi Narain College of Technology (LNCT) ( email )

Bhopal
Bhopal
India

Vikas Pare

Lakshmi Narain College of Technology (LNCT) ( email )

Bhopal
Bhopal
India

Rahul Sahu

Lakshmi Narain College of Technology (LNCT) ( email )

Bhopal
Bhopal
India

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