Detection Of Human Face Targets with Viola-Jones Method
Keywords:
Face Detection, Human Face, Viola JonesMethod, Open CV, Phyton programming
Abstract
This study aims to implement Viola Jones into a simple face detection system by utilizing the existing library in Open CV and using the Python programming language. In this study, there were 10 sample images consisting of 8 images of human faces and 2 images of animals. The results of the study were 9 images were successfully detected and 1 image was less precise in determining the face. The system can detect the presence of several (more than one) faces in an image. The system can also detect an object that resembles a face when the object has the same contour as a human face, for example, a face on a statue.
References
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[2]Boontua, M., Nam-Asa,P., Arwatchananukul, S., & Aunsri, N. (2018). A Study of Features and Classifiers for Multiple Environment Face Recognition System. 3rd
[3]International Conference on Digital Arts, Media and Technology, ICDAMT 2018, Vol. 1(1)
[4]Lestari,Sir Puji, 2014, Implementasi Pengenalan Wajah Manusia Menggunakan Principal Component Analysis (PCA), Program Studi Teknik Informatika, STMIK Budidarma, Medan
[5]Nugroho, S., 2004, Sistem Pendeteksi Wajah Manusia pada Citra Digital, Program Studi Ilmu Komputer, FMIPA, Universitas Gadjah Mada, Jogyakarta
[6]Parmar, D. N., & Mehta, B. B. (2014). Face Recognition Methods & Applications.
International Journal of
Computer Applications in Technology, Vol 4(1), pp.
83–86. Retrieved from http://arxiv.org/abs/1403.0485
[7]Rahmantha,Nafier, 2014, Penerapan Algoritma Viola-Jones dan Eigenface pada Sistem Pengenalan Wajah, Jurusan Teknik Elektro dan Teknologi Informasi, FT, UGM, Jogyakarta
[8]Turk,M., and Pentland, A., 2013, Eigenface for Recognition, Journal of Cognitive Neuroscience,Volume : 3
[9]Tarhini, Ali.2011. Efficient Face Detection Algorithm using Viola Jones method. http://www.codeproject.com/Articles/85113/Efficient-FaceDetection-Algorithm-using-Viola-Jon
[10]Yanti, Dewi, 2013, Deteksi Wajah Manusia pada Citra menggunakan Dekomposisi Fourier, Program Studi Ilmu Komputer, FMIPA, Universitas Brawijaya, Malang
[11]Viola, P., and Jones, M., 2004, Robust Real-time Object Detection, International Journal of Computer Vision, Kluwer Academic, Netherlands
[12]Wang, D., Zheng, G., & Liu, L. (2015). Developmental Network and Its Application to Face Recognition. Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015, pp. 6310–6315. https://doi.org/10.1109/CCDC.2015.7161951
Published
2021-11-05
Section
Articles
Copyright (c) 2021 Rahmiati Almunir
This work is licensed under a Creative Commons Attribution 4.0 International License.
