@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}, }