• Supriya Sameer Nalawade

Managing student attendance during lecture periods has become a difficult challenge. The ability to compute the attendance percentage becomes a major task as manual computation produces errors and also wastes a lot of time. For the stated reason, an efficient attendance management system using biometrics is designed. This system takes attendance electronically with the help of a finger print device and the records of the attendance are stored in a database. Attendance is marked after student identification.For student identification, a biometric (fingerprint) identification based system is used. This process however, eliminates the need for stationary materials and personnel for the keeping of records.eg.Eighty candidates were used to test the system and success rate of 94 percent was recorded. The manual attendance system average execution time for eighty students was 17.83 seconds while it was 3.79 seconds for the automatic attendance management system using biometrics. The results showed improved performance over manual attendance management system. Attendance is marked after student fingerprint identification

Android OS 4.3 and greater versions

"ATTENDANCE OF STUDENT USING BIOMETRIC FINGERPRINT RECOGNITION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1823-1826, June-2020, Available :http://www.jetir.org/papers/JETIR2006264.pdf

"ATTENDANCE OF STUDENT USING BIOMETRIC FINGERPRINT RECOGNITION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1823-1826, June-2020, Available at : http://www.jetir.org/papers/JETIR2006264.pdf