Printed Color Document Storage and Retrieval for Image Databases
Several feature sets are experimented in the computer simulation of the algorithm to demonstrate the efficacy of the image retrieval. It is determined experimentally that the proposed method is not affected by substantial changes in the databases. This is due to the fact that the features used for document retrieval are not predefined sets. Rather, they are extracted directly from the document images submitted for recording or searching. This makes the algorithm very robust and attractive for many applications of the image storage and retrieval systems.
Document Type: Research Article
Publication date: 1998-01-01
For more than 30 years, IS&T's series of digital printing conferences have been the leading forum for discussion of advances and new directions in 2D and 3D printing technologies. A comprehensive, industry-wide conference that brings together industry and academia, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems?particularly those involved with additive manufacturing and fabrication?including bio-printing, printed electronics, page-wide, drop-on-demand, desktop and continuous ink jet, toner-based systems, and production digital printing, as well as the engineering capability, optimization, and science involved in these fields. In 2016, the conference changed its name formally to Printing for Fabrication to better reflect the content of the meeting and the evolving technology of printing.
Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.
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