Fingerprint based attendance in python

Abstract : Fingerprint authentication is one of the most popular and accurate technology. Our project is a fingerprint attendance system that records the attendance of students based on their fingerprint matches them against the database to mark their attendance. Fingerprint-based attendance system used for ensures that there is a minimal fault in gathering attendance and also reduce cost and time required to manage attendance via paper Continuous observation improves the performance for the estimation of the attendance We constructed the lecture attendance system based on Fingerprint recognition, and applied the system to classroom lecture. This paper first review the related works in the field of Fingerprint attendance management . Then, it introduces our system structure and plan. Finally, experiments are implemented to provide as evidence to support our plan. The result shows that continuous observation improved the performance for the estimation of the attendance.

 EXISTING SYSTEM :

 Several automated attendance systems have been proposed based on biometric recognition, barcode, QR code, and near field communication python device. However, the previous systems are inefficient in term of processing time and low in accuracy.

 DISADVANTAGE :

  Manual attendance take time for attendance No proper records in system Fake attendance may enter

 PROPOSED SYSTEM :

 This paper aims to propose an python based course attendance system using Fingerprint recognition. This model incorporates input image, an algorithm to detect a Fingerprint from the input image, encode it and recognize the Fingerprint and mark the attendance. The system camera of an python captures the image and sends it to the server where Fingerprint are recognized from the database and attendance is calculated on basis of it.

 ADVANTAGE :

  The advantages of the Fingerprint recognition system include faster processing, automation of the identity, breach of privacy, massive data storage, best results, enhanced security, real time Fingerprint recognition of students in schools and colleges, employees at corporate offices, python unlock and many more in day to day life.

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