Multi-User Authentication Using Biometric Sensor Using Parallel Processing Algorithm For Attendance Monitoring

Attendance monitoring of students in a classroom is a process that has been followed in the traditional manner of raising the names of every candidate and verifying their presence. Nowadays faculty members use roll numbers of the individual candidate to verify the presence of a candidate in a class. But students are not genuine in this process. More number of proxy entries is made while reporting. This has to be monitored properly and also proxy entries need to be taken out. To solve this problem, a new methodology is proposed using a traditional biometric mechanism with fast processing. A fingerprint attendance system is used by many organizations for verifying their presence for a day. Maintenance of Attendance is the key aspect in most of the organizations in today's world. Biometric is a well-known authenticated technology for identifying a person for a day in the organization. Other technologies exist in the market which helps in identifying the person. Some of the technologies are RFID, NFC, and FACE Recognition. But, all the above technologies have their own disadvantages in terms of efficiency and duplication. To overcome this problem, a refined biometric technology is proposed which uniquely identifies the person and performs fast processing. A small handy device is used to mark the attendance without the involvement of faculty members. The students can mark the attendance by using this device. Multiple Students can register their presence at a time over the device in the class. After attendance entry is made and it will be stored on an SD card. End of the day, the report can be downloaded from that device. This helps in avoiding proxy entries and also helps in the fast processing of traditional biometric technology.