Face Recognition System Based on LBPH Algorithm
Abhishek Pratap Singh1, SunilKumar S Manvi2, Pratik Nimbal3, Gopal Krishna Shyam4
1Abhishek Pratap Singh, School of C & IT, REVA University, Bangalore (Karnataka), India.
2Sunil Kumar S Manvi, School of C & IT, REVA University, Bangalore (Karnataka), India.
3Pratik Nimbal, School of C & IT , REVA University, Bangalore (Karnataka), India.
4Gopal Krishna Shyam, School of C & IT , REVA University, Bangalore (Karnataka), India.
Manuscript received on 04 June 2019 | Revised Manuscript received on 12 June 2019 | Manuscript Published on 29 June 2019 | PP: 26-30 | Volume-8 Issue-5S, May 2019 | Retrieval Number: E10060585S19/19©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: In this modern time, identifying a person using a face is a standard biometric approach to distinguishing an individual from others. So techniques are required to identify a face must be quick and sufficiently enough to work in real time. But there are many difficulties within the execution of face identification in low lighting condition. In this paper, we have proposed a system that is using Local Binary Patterns Histogram algorithm for identifying a face. It can recognize both front and side faces and upgrade the value of poor enlightened picture and also expands the recognition rate in real time.
Keywords: Face Recognition, LBPH, Histograms, Identification Process.
Scope of the Article: Pattern Recognition