Abstract
The academic attendance of students largely influences their acquired knowledge, grades, and skills and is of paramount importance. The present study aimed to reinforce a fingerprint identification system to be applied in a database. Fingerprinting is an efficient and rapid technique for attendance checks as it represents the uniqueness of humans and is easily available. Fingerprint sensors have benefited from this exclusivity for the automatic identification or recognition of individuals. To this end, we designed and developed an attendance system, the main components of which were a Fingerprint reader and Arduino board (microcontroller) for the insertion of the records into the database. As a result, the performance evaluation of students was facilitated by the recorded attendance in an accurate, efficient manner with the least possible error, as the results of testing this system was with an average of 98.833 %, as well as the improved academic performance of students as they must attend all the sessions and cannot avoid classes.
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