OpenCV Algorithms for Facial Recognition
Praveen Tumuluru1, Burra Lakshmi Ramani2, CH.M.H.Saibaba3, B.Venkateswarlu4, N.Ravinder.5
1Praveen Tumuluru, Department of Computer Science and Engineering Dept., Koneru Lakshmaiah Educational Foundation, Guntur, India.
2CH.M.H. Saibaba, Department of Computer Science and Engineering Dept., Koneru Lakshmaiah Educational Foundation, Guntur, India.
3B. Venkateswarlu, Department of Computer Science and Engineering Dept., Koneru Lakshmaiah Educational Foundation, Guntur, India.
4N. Ravinder, Department of Computer Science and Engineering Dept., Koneru Lakshmaiah Educational Foundation, Guntur, India.
5Burra Lakshmi Ramani, Asst professor, Computer Science and Engineering Dept., PVP Siddhartha Institute of Technology, Kanuru, Vijayawada, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 927-933 | Volume-8 Issue-8, June 2019 | Retrieval Number: G5577058719/19©BEIESP
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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 method of authenticating or identifying a person which is being used for security issues. Face recognition begins with mapping individual’s facial features such as the width of the mouth, eyes, pupil, and storing the data as a face print in the database and returning the closest record (facial metrics). The data about an individual face is known as a face template and is distinct from a photograph which includes specific details that can be used to distinguish one face to another. This primary research purpose is to get the best facial recognition algorithm.
Keyword: Face recognition, Facial metrics, Facial template, and facial recognition algorithm.
Scope of the Article: Image Processing and Pattern Recognition.