A Novel Face Recognition System for Plastic Surgery Face Database using Single Eigen Value
S.Princy Suganthi Bai1, D.Ponmary Pushpa Latha2, D.Joseph Pushpa Raj3
1S.Princy Suganthi Bai, Research Scholar, Bharathiar University, Coimbatore (Tamil Nadu), India. and Assistant Professor, Department of Computer Science, Sarah Tucker College, Tirunelveli, (Tamil Nadu), India.
2Dr. D. Ponmary Pushpa Latha, Associate Professor, Department of Information Technology, Karunya Institute of Technology and Sciences, Coimbatore (Tamil Nadu), India.
3D. Joseph Pushpa Raj, Assistant Professor, Department of Information Technology, Francis Xavier Engineering College, Tirunelveli (Tamil Nadu), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 1025-1030 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7081068519/19©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: The advance development in the field of medicine are quite appreciable in one way and a technical hazard in other way to human society. The plastic surgery face treatments that are availed by the people to beautify themselves, given to the needed patients, or misused by the intruders are the latest huddles for the reliable Face Recognition System (FRS). In this paper, a novel approach of extracting a Single Eigen Value(SEV) from plastic surgery database and classified with the standard classifiers are discussed. The experimental results of the proposed model on Plastic surgery database, shows that the SEV feature with 1-NN rule classifier gives an outstanding performance when compared with the existing FRS models that comprises the plastic surgery challenge.
Keywords: Face Recognition System, Nearest Neighbour rule, Kernel Principal Component Analysis, Plastic Surgery database
Scope of the Article: Pattern Recognition