论文信息 - Automated zone correction in bitmapped document images

Automated zone correction in bitmapped document images

The optical character recognition system (OCR) selected by the National Library of Medicine (NLM) as part of its system for automating the production of MEDLINER records frequently segments the scanned page images into zones which are inappropriate for NLM's application. Software has been created in-house to correct the zones using character coordinate and character attribute information provided as part of the OCR output data. The software correctly delineates over 97% of the zones of interest tested to date.

[1] Daniel X. Le,et al. Automated Labeling of Zones from Scanned Documents , 1999 .

[2] Mahesh Viswanathan,et al. A prototype document image analysis system for technical journals , 1992, Computer.

[3] Mahesh Viswanathan,et al. Syntactic Segmentation and Labeling of Digitized Pages from Technical Journals , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[4] George R. Thoma,et al. Automatic Reformatting of OCR Text from Biomedical Journal Articles , 1999 .

[5] Sargur N. Srihari,et al. An integrated approach to document decomposition and structural analysis , 1996, Int. J. Imaging Syst. Technol..

[6] George Nagy,et al. Automated Evaluation of OCR Zoning , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[7] John P. Oakley,et al. A comparison of system architectures for intelligent document understanding , 1996, Signal Process. Image Commun..

[8] Lawrence O'Gorman,et al. The Document Spectrum for Page Layout Analysis , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[9] Anil K. Jain,et al. Document Representation and Its Application to Page Decomposition , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[10] George R. Thoma,et al. Manual Verification and Correction of Automatically Labeled Zones: User Interface Considerations , 1999 .