Abstract

Abstract: - One of the most used and reliable methods of identification is fingerprint scanning. Our technology compares a student's fingerprint to a database and marks their attendance depending on whether or not the fingerprint matches. Using a fingerprint reader to take attendance eliminates the need for laborious manual recordkeeping and the associated costs. Using a Arduino uno simplifies the procedure and lowers the need for human intervention. Arduino uno is linked to the fingerprint reader. The fingerprint scanner time has been programmed to take attendance. The message is delivered to the appropriate individual by e-mail or text when the student has entered his or her fingerprints. In this project, we utilize a Fingerprint Sensor (R307) to identify a user by fingerprint; when a user rests his finger on the sensor, a buzzer and LED light up. The fingerprint is then assigned a unique identifier and saved in the cloud. Fingerprint data may be stored for several users. The sensor will then compare the new fingerprint with the previous ones to see if there are any matches. The LCD screen will reveal the individual whose fingerprint was checked along with the date and time.Keywords: ANPR, Character Segmentation, Convolutional Neural Networks, Edge Detection, License Plate Extraction, Morphology, OCR