A Robust Technique of Face Recognition Algorithm for Automated Attendance Management System
Sekar. R1, A. Sravani2, P. Divya3, S K. Mujeeb4
1Sekar. R, Assistant Professor, Department of ECE, Koneru Lakshmaiah Education Foundation Deemed to be University, Vaddeswaram, Guntur (Andhra Pradesh), India.
2A. Sravani, UG Scholar, Department of ECE, Koneru Lakshmaiah Education Foundation Deemed to be University, Vaddeswaram, Guntur (Andhra Pradesh), India.
3P. Divya, UG Scholar, Department of ECE, Koneru Lakshmaiah Education Foundation Deemed to be University, Vaddeswaram, Guntur (Andhra Pradesh), India.
4S K. Mujeeb, UG Scholar, Department of ECE, Koneru Lakshmaiah Education Foundation Deemed to be University, Vaddeswaram, Guntur (Andhra Pradesh), India.
Manuscript received on 29 November 2019 | Revised Manuscript received on 04 December 2019 | Manuscript Published on 10 December 2019 | PP: 958-962 | Volume-8 Issue-3S2 October 2019 | Retrieval Number: C12641083S219/2019©BEIESP | DOI: 10.35940/ijrte.C1264.1083S219
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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: We recommend a robotized participation the board framework in this paper. This framework, in view of face identification and acknowledgment calculations, naturally distinguishes the understudy when he enters the homeroom and, by remembering him, denotes the participation. This paper depicts the framework design and calculations utilized in each stage. To assess the presentation of various face acknowledgment frameworks, diverse constant situations are considered. This paper likewise proposes the procedures to be utilized to manage dangers, for example, parodying. This framework spares time contrasted with conventional participation markings and furthermore helps screen the understudies.
Keywords: Face Acknowledgment, LBP, SVM.
Scope of the Article: Pattern Recognition