Face Recognition Using Enhanced Kernel Based SVM Classification for Matching

Authors(2) :-N. Revathi, Dr. S. Selvamuthukumaran

Automatic face recognition system is an important component of intelligent human computer interaction systems for biometric. It is an attractive biometric approach, to distinguish one person from another. This paper deals with the edge detection technique with a modified form of SVM kernel classifier is utilized to take account of prior knowledge about facial structures and is used as the alternative feature extractor.

Authors and Affiliations

N. Revathi
Research Scholar, Bharathiar University, Coimbatore, India
Dr. S. Selvamuthukumaran
Director-Computer Applications, A.V.C. College of Engineering, Mannampandal, India

Face Recognition, Classification, Edge Detection, Matching.

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Publication Details

Published in : Volume 3 | Issue 6 | July-August 2018
Date of Publication : 2018-07-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 11-16
Manuscript Number : CSEIT18365
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

N. Revathi, Dr. S. Selvamuthukumaran, "Face Recognition Using Enhanced Kernel Based SVM Classification for Matching", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 6, pp.11-16, July-August-2018.
Journal URL : http://ijsrcseit.com/CSEIT18365

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