@article{(Open Science Index):https://publications.waset.org/pdf/13329,
	  title     = {Application of l1-Norm Minimization Technique to Image Retrieval},
	  author    = {C. S. Sastry and  Saurabh Jain and  Ashish Mishra},
	  country	= {},
	  institution	= {},
	  abstract     = {Image retrieval is a topic where scientific interest is currently high. The important steps associated with image retrieval system are the extraction of discriminative features and a feasible similarity metric for retrieving the database images that are similar in content with the search image. Gabor filtering is a widely adopted technique for feature extraction from the texture images. The recently proposed sparsity promoting l1-norm minimization technique finds the sparsest solution of an under-determined system of linear equations. In the present paper, the l1-norm minimization technique as a similarity metric is used in image retrieval. It is demonstrated through simulation results that the l1-norm minimization technique provides a promising alternative to existing similarity metrics. In particular, the cases where the l1-norm minimization technique works better than the Euclidean distance metric are singled out.
},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {3},
	  number    = {8},
	  year      = {2009},
	  pages     = {1646 - 1649},
	  ee        = {https://publications.waset.org/pdf/13329},
	  url   	= {https://publications.waset.org/vol/32},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 32, 2009},
	}