Comparative Study of LBPH and Haar Features in Real Time Recognition Under Varying Light Intensities
Dennies Rocky1, Aajin Roy2, Anujith S3, Eldho K Paul4, Akas G Kamal5
1Dennies Rockky, Department of Electronics and Communication, Adi Shankara Institute of Engineering and Technology, Kalady (Kerala), India.
2Aajin Roy, Department of Electronics and Communication, Adi Shankara Institute of Engineering and Technology, Kalady (Kerala), India.
3Eldho K Paul, Department of Electronics and Communication, Adi Shankara Institute of Engineering and Technology, Kalady (Kerala), India.
4Anujith S, Department of Electronics and Communication, Adi Shankara Institute of Engineering and Technology, Kalady (Kerala), India.
5Akas G Kamal, Department of Electronics and Communication, Adi Shankara Institute of Engineering and Technology, Kalady (Kerala), India.
Manuscript received on 01 June 2020 | Revised Manuscript received on 10 June 2020 | Manuscript Published on 17 June 2020 | PP: 27-29 | Volume-9 Issue-4s May 2020 | Retrieval Number: A10030594S20/20©BEIESP | DOI: 10.35940/ijeat.A1003.0594S20
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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 commonly used biometric and has a wide range of applications. We used an access control system that integrates face recognition technology. This paper discusses two algorithms that have been used in the face detection, Haar features and Local Binary Patterns Histogram (LBPH). The experimental set up is done in an open environment using OpenCV library. Comparative study has been made between these two algorithms based on parameters like illumination and hit rate. For the testing, the same training set and samples were used.
Keywords: Face Recognition, Haar Features, LBPH, OpenCV.
Scope of the Article: Multimedia and Real-Time Communication