PENDETEKSIAN WAJAH PADA CITRA DINAMIS YANG DILENGKAPI FITUR GENDER SECARA REALTIME
Keywords:
Face detection, Gender, Real time
Abstract
Abstract - The computational model face has become an active area of research because these areas are not only in the domain of theoretical only but allows the creation of practical applications in terms of face detection, for example, to determine the gender, age group, security systems, image processing and movies, etc. , Research carried out is to conduct a review of the identification of faces to determine gender in dynamic or real time image. .This Method is carried out at an early stage is to capture facial images with a webcam, and then take a picture of a face, and then extract the facial features, and finally tell which men and women.
References
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[15] Hu Han, Member, and Anil K. Jain, Age, Gender and Race Estimation from Unconstrained Face Images, MSU Technical Report (2014):
[2] Chien-Cheng Lee and Chung-Shun Wei, Gender Recognition Based On Combining Facial And Hair Features , Department of Communication Engineering ,Yuan Ze University
[3] Dedi Ary Prasetya, Imam Nurviyanto, Deteksi Wajah Metode Viola Jones Pada Opencv Menggunakan Pemrograman Pytho, Simposium Nasional RAPI XI FT UMS – 2012
[4] Erik Hjelmas, Boon Kee Low, Face Detection: A Survey, Computer Vision and Image Understanding 83, 236–274 (2001)
[5] Gökhan Yaprakkaya, Face Identification, Gender And Age Groups Classifications For The Semantic Annotation Of Videos, A Thesis Submitted To The Graduate School Of Natural And Applied Sciences Of Middle East Technical University, 2010
[6] Horg, Wen-Bing, Lee, Cheng-Ping, Classification of Age Groups Based on Facial Features. Tamkang Journal of Science and Engineering, Vol 4, No.3, 2001
[7] M. Mayo, E. Zhang, Improving face gender classification by adding deliberately misaligned faces to the training data, Proceeding International Conference : Image and Vision Computing New Zealand (IVCNZ), 2008
[8] Md. Hafizur Rahman, Suman Chowdhury, Md. Abul Bashar, An Automatic Face Detection and Gender Classification from Color Images using Support Vector Machine, Journal of Emerging Trends in Computing and Information Sciences , Vol. 4, No. 1 Jan 2013
[9] Nusrath Ali T K, Lidiya Xavier, Person Identification And Gender Classification Using Gabor Filters And Fuzzy Logic, International Journal of Electrical, Electronics and Data Communication, 2014
[10] Srinivas Gutta, , Jeffrey R. J. Huang, P. Jonathon and , and Harry Wechsler, Mixture of Experts for Classification of Gender,Ethnic Origin, and Pose of Human Faces, IEEE Transactions On Neural Networks, VOL. 11, NO. 4, JULY 2000
[11] Turk, M., and Pentland, A Face Recognition Using Eigenfaces. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Page. 586-591. 1991.
[12] Ravi1.S, Wilson. S, Face Detection with Facial Features and Gender Classification Based On Support Vector Machine, International Journal of Imaging Science and Engineering, 2010
[13] Ryotatsu Iga, Kyoko Izumi, Hisanori Hayashi, Gentaro Fukano, Tetsuya Ohtani, A Gender and Age Estimation System from Face Images, SICE Annual Conference in Fukui, Japan, August 4-6, 2003
[14] Hui-Cheng Lian and Bao-Liang Lu, Multi-view Gender Classification Using Local Binary Patterns and Support Vector Machines, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800 Dong Chuan Rd., Shanghai 200240, China
[15] Hu Han, Member, and Anil K. Jain, Age, Gender and Race Estimation from Unconstrained Face Images, MSU Technical Report (2014):
