Open Access
Subscription Access
Impact of Biometric Attendance System on Secondary and HigherSecondary Educational Institutions Across J&K
Managing and monitoring attendance of employees is very important aspect for smooth functioning of any public or private organization. To obtain and maintain the attendance of employees in an organization has become a challenging aspect to deal with. In order to avoid human bias and direct human intervention different government institutions have implemented Biometric attendance system in educational institutions to record employee attendance on daily basis. This research work aims to study the impact of Biometric Attendance system(BAS) on educational system vis-a-vis punctuality of employees in an educational institute. The study indicates that biometric modalities are universally secure and accurate, but in practice the scenarios of attendance systems in Jammu&Kashmir has highlighted some loopholes which are existing at present in the Biometric attendance system.
Keywords
Biometrics, Fingerprint, Biometric Attendance System, Fingerprint Identification and Authentication.
User
Font Size
Information
- Shoewu, O, O.M. Olaniyi, and A. Lawson. 2011. “Embedded Computer-Based Lecture Attendance Management System”. African Journal of Computing and ICT (Journal of IEEE Nigeria Computer Section). 4(3):27-36.
- Kadry, S. and M. Smaili. 2010. “Wireless Attendance Management System Based on Iris Recognition”.
- Cheng, K., L. Xiang, T. Hirota, and K. Ushijimaa. 2005. “Effective Teaching for Large Classes with Rental PCs by Web System WTS”. Pro. Data Engineering Workshop (DEWS2005), 1D-d3 (in Japanese).
- Whitman, Michael E. and Mattord, Herbert J. Management of Information Security. Boston, Massachusetts: Thomson Course Technology, 2004, 363-375
- Robert Carrigan, Ron Milton, Dan Morrow, “Automated fingerprint identification systems”, Technical Report by Computer world donors case study, 2005.
- Syed Mohsin Saif et al ., Effectiveness Of Gaussian And Average Noise Reduction Filters On Ideal Fingerprint Image In Biometric Fingerprint Identification System. International Journal of Recent Scientific Research Vol. 6, Issue, 8, pp.5731-5736, August, 2015
- Hong, L, Wan, Y and Jain, A.K.”Fingerprint image enhancement: Algorithm and performance evaluation”, IEEE transactions on Pattern Analysis and Machine Intelligence 20, 8(1998),777-789.
- Saraswat, C. et al. 2010. “An Efficient Automatic Attendance System using Fingerprint Verification Technique”. International Journal on Computer Science and Engineering. 2(02):264-269.
- Maltoni, D., D. Maio, A.K. Jainl, and S. Prabhaker. 2003. Handbook of Fingerprint Recognition. Springer- Verlag: Berlin, Germany.
- Pankanti, S., S. Prabhakar, and A.K. Jain. 2002. “On the Individuality of Fingerprints”. IEEE Transaction on Pattern Analysis and Machine Intelligence. 24(8).
- Shoewu, O. and O. Badejo. 2006. “Radio Frequency Identification Technology: Development, Application and Security Issues”. Pacific Journal of Science and Technology. 7(2):144-152.
Abstract Views: 320
PDF Views: 1