AREVIEW:SPARSE REPRESENTATIONUSINGMULTIPLE KERNEL APPROACH FOR EFFICIENT AND ACCURATE FACE RECOGNITION

Authors

  • Vishal Bagul SKNCOE,Pune
  • Dr. S. K.Shah SKNCOE,Pune

Keywords:

Sparse representation-based classification, occlusion, , non linear kernet

Abstract

This review paper highlights accuracy of MKL-SRC(Multiple Kernel Learning Sparse Representation Classifi-cation) algorithm on different image classification databases like AR , Extended Yale B, RGBD. Different classification techniques are reviewed. The main objective of MKL-SRC is to classify im-ages in environment having occlusion and noise. MKLSRC using non linear kernel with kernel trick where L1 minimization is used to find sparserepresentation.

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Published

2021-03-27

Issue

2016: IOTTSF

Section

Articles

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