IMPLEMENTATION OF FACE RECOGNITION USING GEOMETRIC FEATURES EXTRACTION

  • Risanuri Hidayat Universitas Gadjah Mada
  • Muhammad Oka Bagus Wibowo
  • Brama Yoga Satria
  • Anggun Winursito

Abstract

The face is among the biometric objects used to recognize one’s identity. There are various face recognition system methods that can be applied, one of which is geometric features-based face recognition. Geometric features are unique features extraction of one’s facial components. These features are obtained by calculating the comparison values of the distance measurement between facial components served as a reference like eyes, nose, and mouth. This research implemented a face recognition system using the geometric features method on a significantly low-spec computer system. This implementation was carried out by building a system, installing it on a computer system, and then testing it using laptops or computer devices and the camera web. The face recognition system would process the facial input images, extract their geometric features, and match the results with the data stored in the database. The research results were a low-spec computer system that could recognize its users by providing real-time feedback in the form of users’ names with an accuracy of 98%.

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References

[1] S. Rajib and B. Debotosh, “Memory Efficient Human Face Recognition Using Fiducial Points,” International Journal of Advanced Research in Computer Science and Software Engineering, vol. 2, no. 1, 2012.
[2] J. George and T. B., “Face Recognition Technique for Authentication in Smart Devices – Comparative Study,” International Journal of Applied Information Systems (IJAIS), vol. 12, no. 1, 2017.
[3] W. Zhao, R. Chellappa, P. J. Phillips, and A. A. Rosenfield, “Face Recognition: A Literature Survey,” ACM Computing Surveys, vol. 35, no. 4, pp. 399-458, 2003.
[4] J. A. Andre, "Sistem Security Webcam Dengan Menggunakan Microsoft Visual Basic (6.0)," Jurnal Teknologi dan Sistem Informasi UNIVRAB, 2016.
[5] D. A. Prasetya and I. Nurviyanto, "Deteksi Wajah Metode Viola Jones Pada OpenCV Menggunakan Pemrograman Python," Simp. Nas. RAPI XI FT UMS, pp. 18-23, 2013.
[6] Kholistianingsih, "Ekstraksi Ciri Geometris Untuk Pengenalan Wajah," Fakultas Teknik Universitas Gadjah Mada, Yogyakarta, 2012.
[7] B.S. Hantono and R. Hidayat, "Ekstraksi Ciri Geometris pada Pengenalan Wajah," Fakultas Teknik Universitas Gadjah Mada, Yogyakarta, 2010.
[8] T. E. Prabowo, R. Hartanto and S. Wibirama, "Pengembangan Purwarupa Aplikasi Presensi Mahasiswa Dteti Ugm Berbasis Pengenalan Wajah Menggunakan Algoritme Eigenface," Departemen Teknik Elektro dan Teknologi Informasi, Yogyakarta, 2019.
[9] S. Nagamalla and BC. Dhara, “A Novel Face Recognition Method using Facial Landmarks,” Seventh International Conference on Advance in Pattern Recognition, pp. 445-448, 2019.
[10] A. H. Mulyadi, L. Talangko and A. Lawi, "Pengenalan Citra Wajah Menggunakan Metode Analisis Komponen Utama Dan Jarak Euclidean," Fakultas MIPA, Universitas Hasanudin, Makassar, 2018.
[11] S. Z. Li and A. K. Jain, “Handbook of Face Recognition,” Springer, 2011.
Published
2022-01-11
How to Cite
HIDAYAT, Risanuri et al. IMPLEMENTATION OF FACE RECOGNITION USING GEOMETRIC FEATURES EXTRACTION. Jurnal Ilmiah Kursor, [S.l.], v. 11, n. 2, p. 83, jan. 2022. ISSN 2301-6914. Available at: <https://kursorjournal.org/index.php/kursor/article/view/284>. Date accessed: 17 may 2022. doi: https://doi.org/10.21107/kursor.v11i2.284.
Section
Articles