A GEO - Tagging Based Hybrid Mobile Attendance System

Authors

  • Venkatesh Pratap Mall  Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India
  • Piyush Choudhary  Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India
  • Sheik Imran  Assistant Professor, Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India
  • Chandan V.  Assistant Professor, Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India
  • Karibasavaraju T. S.  Assistant Professor, Department of Electrical and Electronics Engineering, Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India

DOI:

https://doi.org//10.32628/CSEIT19563

Keywords:

Geo-Tagging, Multilingual, Finger- Printing, GPS.

Abstract

Biometrics technologies verify identity through characteristics such as fingerprints, faces, irises, retinal patterns, palm prints, voice, hand-written signatures, and so on. These techniques, which use physical data, are receiving attention as a personal authentication method that is more convenient than conventional methods such as password or ID cards because it uses data taken from measurements and such data is unique to the individual and remains so throughout one’s lifetime. Geo-tagging is the process of adding geographical information to various media in the form of metadata. The data usually consists of coordinates like latitude and longitude, but may even include bearing, altitude, distance and place names. By combining the above services, we can help the public and private sector offices like Survey Department, Revenue Department, Electricity department, Telephone Department, Public Works Department (PWD), Transport Department (NH, KSRTC etc.) to take care of the employee’s attendance by asking them to install this proposed application in their smart phone.

References

  1. Shoewu O., Olaniyi O.M. and Lawson A., “Embedded Computer Based Lecture Attendance Management System”. African Journal of Computing and ICT. Vol 4, No. 3. P 27- 36, September, 2011.
  2. Shehu V. and Dika A., “Using Real Time Computer Vision Algorithms in Automatic Attendance Management Systems”. Proceedings of the ITI 2010 32nd Int. Conf. on Information Technology Interfaces, June 21-24, 2010, Cavtat, Croatia.
  3. Kadry S. and Smaili M. “Wireless Attendance Management System based on Iris Recognition”, Scientific Research and Essays Vol. 5(12), pp. 1428-1435, 18 June 2010.
  4. Ononiwu G. C and Okorafor G. N, “Radio Frequency Identification (RFID) Based Attendance System with Automatic Door Unit”, Academic Research International. Vol 2, No 2, March 2012.
  5. McGeehan D.A. “Attendance Management Program”, the City of Pleasanton, Human Resources.
  6. Govindaraju V., Jea T., “Minutiae-based partial fingerprint recognition, Pattern Recognition, Vol. 38, pp. 1672-1684, USA, 2005.
  7. Maio D., Maltoni D., “Direct Gray-Scale Minutiae Detection in Fingerprints”, IEEE Trans. Pattern Anal. Machine. Intell.vol 19, pp. 2740, USA, 1997.
  8. Bigun J., Nilsson K., Using linear symmetry features as a preprocessing step for fingerprint images, Conf. Audio and Video Based Biometric Person Authentication, pp.247–252, Sweden, 2001.

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Published

2019-11-30

Issue

Section

Research Articles

How to Cite

[1]
Venkatesh Pratap Mall, Piyush Choudhary, Sheik Imran, Chandan V., Karibasavaraju T. S., " A GEO - Tagging Based Hybrid Mobile Attendance System , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 6, pp.01-05, November-December-2019. Available at doi : https://doi.org/10.32628/CSEIT19563