Video Based Facial Detection & Recognition
Mohd. Altamash1, Avinashwar2, Neetu Faujdar3, Shipra Saraswat4
1Mohd. Altamash, Department of Computer Science Engineering, Amity University, Noida, India.
2Avinashwar, Department of Computer Science Engineering, Amity University, Noida, India.
3Neetu Faujdar, Department of Computer Science Engineering, Amity University, Noida, India.
4Shipra Saraswat, Department of Computer Science Engineering, Amity University, Noida, India.
Manuscript received on 29 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 661-665 | Volume-8 Issue-9, July 2019 | Retrieval Number: I7719078919/19©BEIESP | DOI: 10.35940/ijitee.I7719.078919
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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: The identification of a person through images has been on cards for a long while but identification/recognition through video is not so common that is what we have tried to explain by the use of some classifiers like HAAR, Local Binary Pattern (LBP) and Local Binary Pattern Histogram (LBPH). These all classifiers are used for facial detection & recognition respectively. For the Facial Detection, HAAR Classifier is used while for Facial Recognition Local Binary Pattern Histogram is used.
Index Terms: Classifiers, Facial Detection, Facial Recognition, Local Binary Pattern Histogram (LBPH), Local Binary Pattern (LBP), HAAR.
Scope of the Article: Pattern Recognition