@article{(Open Science Index):https://publications.waset.org/pdf/1275,
	  title     = {Object Identification with Color, Texture, and Object-Correlation in CBIR System},
	  author    = {Awais Adnan and  Muhammad Nawaz and  Sajid Anwar and  Tamleek Ali and  Muhammad Ali},
	  country	= {},
	  institution	= {},
	  abstract     = {Needs of an efficient information retrieval in recent
years in increased more then ever because of the frequent use of
digital information in our life. We see a lot of work in the area of
textual information but in multimedia information, we cannot find
much progress. In text based information, new technology of data
mining and data marts are now in working that were started from the
basic concept of database some where in 1960.
In image search and especially in image identification,
computerized system at very initial stages. Even in the area of image
search we cannot see much progress as in the case of text based
search techniques. One main reason for this is the wide spread roots
of image search where many area like artificial intelligence,
statistics, image processing, pattern recognition play their role. Even
human psychology and perception and cultural diversity also have
their share for the design of a good and efficient image recognition
and retrieval system.
A new object based search technique is presented in this paper
where object in the image are identified on the basis of their
geometrical shapes and other features like color and texture where
object-co-relation augments this search process.
To be more focused on objects identification, simple images are
selected for the work to reduce the role of segmentation in overall
process however same technique can also be applied for other
images.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {4},
	  year      = {2010},
	  pages     = {641 - 646},
	  ee        = {https://publications.waset.org/pdf/1275},
	  url   	= {https://publications.waset.org/vol/40},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 40, 2010},
	}