Fourth International Conference Document Analysis and Recognition (ICDAR'97) A Document Analysis and Recognition System Ulm, GERMANY August 18-August 20 ISBN: 0-8186-7898-4
This article describes our research results in constructing a system that analyzes and recognizes printed Chinese documents. Emphasis is placed upon the interactions between different functional modules of our system that are necessary and important to the overall system performance. In particular, the interplay between image and document processing is seen as useful for removing spurious black spots in the back-ground and white holes within character interiors. We also show that the interplay between feature analysis and character recognition enhances the generalization and discrimination power in recognizing characters. Our system holds above 98% recognition rate products. In some extreme cases, 25% better recognition rate has been seen. Our system is also able to treat many cases impossible for other systems.
Index Terms:
Character recognition, character segmentation, document analysis and recognition, elastic matching, feature analysis, image processing for documents
Citation:
F. Chang, T.F. Chiu, T.R. Chou, M.C. Lee, Y.C. Lu, T.Y. Shuai, T.M. Tan, J.J. Wu, C.S. Young, "A Document Analysis and Recognition System," icdar, pp.736, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||