Real Time Face Recognition in Group Images using LBPH
S. Jothi Shri1, S. Jothilakshmi2, G. Jawaherlalnehru3
1S Jothi Shri, Department of Computer Science and Engg, Annamalai University, TN, India.
2S Jothilakshmi, Department of Information Technology, Annamalai University, TN, India.
3G Jawaherlalnehru, Department of Computer Science and Engg, Annamalai University, TN, India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 27 March 2019 | Manuscript published on 30 July 2019 | PP: 1362-1367 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2015078219/19©BEIESP | DOI: 10.35940/ijrte.B2015.078219
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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: Face recognition is a beneficial work in computer vision based applications. The goal of the proposed system is to provide complete face recognitions system capable of working a group of images. The faces are detected and verified the identity of an individual using a machine learning algorithm. The haar cascade detects the face from a group of images for training and testing dataset. The dataset contained positive and negative images for training and testing. The LBPH algorithm recognizes the faces from input images. The proposed system detects and recognizes faces with 98% accuracy.
Key Words: Haar Cascade, LBPH (Local Binary Pattern Histogram), Face Recognition, Face Detection.
Scope of the Article: Pattern Recognition