Analysis of Facial Image Extraction on Facial Recognition using Kohonen SOM for UNPRI SIAKAD Online User Authentication

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Reyhan Achmad Rizal Christnatalis HS
Corresponding Author:
Reyhan Achmad Rizal |

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Reyhan Achmad Rizal, Christnatalis HS


Academic Information System (Sistem Informasi Akademik aka SIAKAD) Online of Universitas Prima Indonesia (UNPRI) is one of the applications used to facilitate the administration process of lectures which includes the filling process of study plan cards (Kartu Rencana Studi aka KRS), study result cards (Kartu Hasil Studi aka KHS), class schedules, submission of research titles, seminars, and other processes. SIAKAD UNPRI can be accessed by students, lecturers, and academics where every user has a password that has been encrypted to maintain the security of information from people who are not responsible, password security using the encryption method needs to be changed regularly, but there are still many students, lecturers and academic community who are reluctant to change passwords. To improve the security verification stage for SIAKAD users, we propose a face recognition feature approach. Face recognition is a feature that allows the identification of someone from a digital image or video. The way the facial recognition method works is by comparing face data from the camera or images with images that were previously stored in a database. In this study, the Kohonen SOM method is proposed for face identification based on the feature extraction approach of discrete cosine transform (DCT), linear discriminant analysis (LDA) and principal component analysis (PCA) to improve the security of UNPRI SIAKAD users. The analytical framework is done by requiring students to do face taking, where each student will save 5 (five) faces extracted with facial features using the DCT, LDA and PCA model approach, feature extraction results are used as input to the Kohonen SOM network for training and testing facial recognition, then analysis of the effect of DCT, LDA and PCA feature extraction on the Kohonen network on facial recognition accuracy.

Keyword: Facial Recognition, Kohonen SOM, discrete cosine transform (DCT), linear discriminant analysis (LDA), principal component analysis (PCA)


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RIZAL, Reyhan Achmad; HS, Christnatalis. Analysis of Facial Image Extraction on Facial Recognition using Kohonen SOM for UNPRI SIAKAD Online User Authentication. SinkrOn, [S.l.], v. 4, n. 1, p. 171-176, oct. 2019. ISSN 2541-2019. Available at: <>. Date accessed: 04 july 2020. doi:
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Purwanto, P., Dirgantoro, B., Jati, A N., 2015, Implementation of Face Identification and Face Recognition in Surveillance Cameras as Danger Detectors, e-Proceeding of Engineering: Vol.2, No.1, pp 718-724 .

Putri, M H., Putra, A B., Gaffar, A F., 2017, Feature Extraction of Human Face Images Using the Mean Absolute Error (MAE) and Discrete Cosine Transfers (DCT) Method in the Classification of Human Age, Proceedings of the 4th National Seminar on Technology , e-ISSN: 2598-7429, pp 28-30.

Wati, D A., Abadianto, D., 2017, Design of Face Detection and Recognition System for Smart Home Security Applications, 2nd International Conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE), pp 342-347.

Wang, P., Lin, W., Chao, K., Lo, C., 2017, A Face-Recognition Approach Using Deep Reinforcement Learning Approach for User Authentication, The Fourteenth IEEE International Conference on e-Business Engineering, pp. 183- 188.

Gunawan, T S., Gani H H., Rahman, F D., Kartiwi, M., 2017, Development of Face Recognition on Raspberry Pi for Security Enhancement of Smart Home Systems, IJEEI Vol. 5, No. 4, pp 317-325.

Susanto, B M., Purnomo, F E., M. Fahmi, F I., 2017, Security System Based On Face Recognition Using Fisherface Method, Scientific Journal of INOVATION, Vol. 17 No. 1, pp. 43-47.

Bakshi, N., Prabhu, V., 2017, Face Recognition System for Access Control using Principal Component Analysis, International Conference on Intelligent Communication and Computational Techniques (ICCT), pp. 145-150.

Husein, A M., Harahap, M., 2017, Multi-Face Recognition Based on Kohonen SOM Classification Optimized with the PCA Discriminant Analysis Algorithm, QUERY: Journal of Information Systems Volume: 01, Number: 02, October 2017 ISSN 2579-5341 (online), online pp 33-39.

Kurniasih, M., Akbar, S., 2018, Identification of Face Similarities for Employee Attendance Using Eigenface Algorithms, Journal of Information Technology, Vol. XIII Number 2 July 2018, ISSN: 1907-2430, pp 78-84.

Lin, W., Wu, B., Huang, Q., 2018, A Face-Recognition Approach based on Secret Sharing for User Authentication in Public-Transportation Security, Proceedings of IEEE International Conference on Applied System Innovation, IEEE ICASI, pp 1350 -1353.

Othman, N A., Aydin, I., 2018, A Face Recognition Method in the Internet of Things for Security Applications in Smart Homes and Cities, International Istanbul Smart Grids and Cities Congress and Fair (ICSG), pp. 20-24.