Human Face Recognition using LBPH
Stitiprajna Panda1, Swati Sucharita Barik2, Sasmita Kumari Nayak3, Aeisuriya Tripathy4, Gourav Mohapatra5
1Stitiprajna Panda*, Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India.
2Swati Sucharita Barik, Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India.
3Sasmita Kumari Nayak, Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India.
4Aeisuriya Tripathy , Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India.
5Gourav Mohapatra, Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 3208-3212 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8117038620/2020©BEIESP | DOI: 10.35940/ijrte.F8117.038620
Open Access | Ethics and Policies | Cite | Mendeley
© 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: During the beginning of seventieth centuries, human facial recognition has become one among the researched areas in the area of finger print scanning and computer vision. Identifying a person with an image has been popularized through the mass media. The recent technologies are totally focusing on developing the smart systems that will recognize the faces for biometric purposes. In this context automatic face recognition is applied for security purposes to find the criminal, attendance system, scientific laboratories etc. This research paper presents the frame work for real time face detection. However, it is less robust to finger print or retina scanning. This paper describes about the face detection and recognition. These technologies are available in the Open-Computer-Vision (OpenCV) library and methodology to implement them using Python in image processing and machine learning. For face detection, Haar-Cascades algorithms were used and for face recognition the algorithm like Eigen faces, and Local binary pattern histograms were used.
Keywords: Face Recognition, Machine Learning, Haar-Cascades, Eigen faces, LBPH
Scope of the Article: Machine Learning.