Evaluation of Biometric Technology for Class Control

Current Trends in Information and Technology Volume 2, Issue 1, April 2012, Pages 1-25, 2012

6 Pages Posted: 16 Jun 2012

See all articles by Priyavrat Thareja

Priyavrat Thareja

GNA University - Faculty of Engineering & Technology

Abhinandan Jain

affiliation not provided to SSRN

Date Written: June 15, 2012

Abstract

Productivity of a class room has direct correlation with students’ attendance and recording of its effectiveness. The current technology revolution oversees the gradual substitution of the age-old call method, bringing biometrics to the forefront. As a viable alternative to traditional personal identification system, the concept of biometrics promises tremendous accuracy and speed as it automatically verifies or recognizes the identity of students. Locally, in a large class of 236 post-graduate and doctoral students in subject of MA 505, Design of experiments and Research Methodology, at PEC University of Technology, the need of this facility was envisaged to avoid proxy attendances, etc. Biometric technology is based on physiological or behavioral characteristics. Since the student to be identified should be physically present at the point of identification, biometric techniques gives high security for the sensitive information stored in mainframes, and simultaneously obviates the need for physical marking of attendance. This paper reports the student perception about this attendance option. Among various types of biometric security systems prevalent in India, the finger print is most popular; hence, this paper summarizes differences along with the advantages of modern biometrics. The study was complemented by a perspective analysis for current technological revolution in the PEC. While 45.8% respondents were using the biometric security at office, majority of the respondents (58.6%) were facing issues and challenges while adopting biometric security system. It is expected that biometric characteristics should be as unique and permanent as possible.

Keywords: Auto attendance logging and management in a class room, IBCR (individual’s bio-character recognition), current technological revolution (CTR)

Suggested Citation

Thareja, Priyavrat and Jain, Abhinandan, Evaluation of Biometric Technology for Class Control (June 15, 2012). Current Trends in Information and Technology Volume 2, Issue 1, April 2012, Pages 1-25, 2012 . Available at SSRN: https://ssrn.com/abstract=2084538

Priyavrat Thareja (Contact Author)

GNA University - Faculty of Engineering & Technology ( email )

Sri Hargobindgarh, Phagwara- Hoshiarpur Road,
Phagwara , Punjab, 144405
India

Abhinandan Jain

affiliation not provided to SSRN

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