Lukas, Samuel and Mitra, Aditya Rama and Desanti, Ririn Ikana and Krisnadi, Dion (2016) Student attendance system in classroom using face recognition technique. In: 2016 International Conference on Information and Communication Technology Convergence (ICTC), 05 December 2016, Korea.
Full text not available from this repository.Abstract
Authentication is one of the significant issues in the era of information system. Among other things, human face recognition (HFR) is one of known techniques which can be used for user authentication. As an important branch of biometric verification, HFR has been widely used in many applications, such as video monitoring/surveillance system, human-computer interaction, door access control system and network security. This paper proposes a method for student attendance system in classroom using face recognition technique by combining Discrete Wavelet Transforms (DWT) and Discrete Cosine Transform (DCT) to extract the features of student's face which is followed by applying Radial Basis Function (RBF) for classifying the facial objects. From the experiments which is conducted by involving 16 students situated in classroom setting, it results in 121 out of 148 successful faces recognition
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 003 Systems (Computer Modeling and Simulation) |
| Divisions: | Faculty of Engineering & Informatics > Information System |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 17 Dec 2021 01:40 |
| Last Modified: | 17 Dec 2021 01:42 |
| URI: | https://kc.umn.ac.id/id/eprint/19726 |
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