SISTEM PENDETEKSIAN WAJAH PADA VIDEO MENGGUNAKAN JARINGAN ADAPTIVE LINEAR NEURON (ADALINE)
Abstract
Face detection is an important first step to many advanced computer vision, biometrics recognition and multimedia applications, such as face tracking, face recognition, and video surveillance. In this paper, a faster face detection system is proposed using Adaptive Linear Neuron (ADALINE). System is constructed from the enhanced image by applying sobel operator, and then use the resulted image s vector to Widrow-Hoff learnings scheme. The performance of the proposed method is evaluated by two performances parameter, detection rate and false positive rate. The result shows that performance of detection rate is range from 65% to 90%. To enhance the quality of system performance, a combination of either : video complexity test, skin color segmentation, or statistical test, should be apllied to future research.
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Prakash N, Kalavdekar. 2010. Face Detection Using Neural
Network. International Journal of Computer Applications (0975 -
Volume 1 No. 16 2010.
Anila, S dan Devarajan, N. 2010. Simple and Fast Face Detection System Based on Edges . International Journal of Universal Computer Sciences (Vol.1-2010/Iss.2), pp. 54-58.
Nugroho, Setyo. 2004. Sistem Pendeteksi Wajah Manusia pada
Citra Digital. Tesis S2 Ilmu Komputer Program Pascasarjana
Universitas Gadjah Mada Jogjakarta.
Wang Tao, Bu Jia-Jun, dan Chen Chun. 2003. A Color based Face Detection System using Multiple Template . Journal of Zhejiang University Science V.4, No. 2, p. 162-165.
Rowley, Henry A. 1999. Neural Network-Based Face Detection .
Thesis : School of Computer Science, Computer Science Department Carnegie Mellon University, Pittsburgh.
Rowley, H., Baluja, S., Kanade, T. 1998. Neural Network-Based
Face Detection. IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 1.
Tabatabie, Zahra Sadri., Rahmat, Rahmita Wirza., Udzir, Nur Izura, dan Kheirkhah, Esmaeil. 2009. A Hybrid Face Detection System using combination of Appearance-based and Feature-based
methods. IJCSNS International Journal of Computer Science and
Network Security, VOL.9 No.5, May 2009.
Curran, Kevin., Xuelong Li., Mc Caughley, Neil. 2005. The Use of
Neural Networks in Real-time Face Detection. Journal of Computer
Sciences 1 (1): 47-62, 2005, ISSN 1549-3636.
Gonzalez, R.C., Woods, R.E. 1992. Digital Image Processing .
Addison-Wesley Publishing Company, USA.
W. Pandjaitan, Lanny. 2007. Dasar-dasar Komputasi Cerdas .
Penerbit ANDI, Yogyakarta.
DOI: https://doi.org/10.29103/techsi.v5i1.146
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