Nowadays, the usage of a manual attendance system has become irrelevant with the current technological advancements. Although, there are many advanced attendance systems such as RFID attendance. It does not solve the problem face in the manual system, like inaccurate data, falsification of attendance, and time-consuming. Therefore, this paper suggests a face recognition attendance system to improve these drawbacks, as it can offer accurate attendance and required less time in recording attendance. Viola-Jones algorithm and Histogram of Oriented Gradient (HOG) feature extraction are techniques applied in this paper. The Viola-Jones algorithm will detect faces on the received image while the HOG feature extraction technique algorithm extracts the facial feature and compare it with the database for face recognition. An android application was developed for the user to upload and check the attendance record done by the face recognition process.
