Effective Usage of Support Vector Machine in Face Detection
Y. Md. Riyazuddin1, S. Mahaboob Basha2, K. Krishna Reddy3, S. Naseera Banu4
1Dr. Y. Md. Riyazuddin, Department of CSE, GITAM University, Hyderabad, India.
2Dr. S. Mahaboob Basha, Department of CSE, MITS, Madanapalle, India.
3Dr. K. Krishna Reddy, Department of Physics, Y V University, Kadapa, India.
4S. Naseera Banu, Department of CSE, VTU,Belgavi, India.
Manuscript received on February 06, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on February 30, 2020. | PP: 1336-1340 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C5406029320/2020©BEIESP | DOI: 10.35940/ijeat.C5406.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the rapid growth in Technology in terms of multimedia contents such as Biometrics, Facial recognition etc. Facial detection got much attention over the past few years. Face recognition describes a biometric technology that attempts to establish an identity. In this paper, I would like to review about a facial recognition system using machine learning especially, using support vector machines. In any case, point of this exploration is to give extensive writing survey over face acknowledgment alongside its applications. Furthermore, after top to bottom conversation, a portion of the significant discoveries are given in end.
Keywords: Face recognition; Machine Learning; Image classification; feature extraction; pattern recognition ;SVM; Haar cascade classifier;