An architecture for handwritten text recognition systems |
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Authors: | Gyeonghwan Kim Venu Govindaraju Sargur N Srihari |
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Affiliation: | (1) Department of Electronic Engineering, Sogang University, CPO Box 1142, Seoul 100-611, Korea; e-mail: gkim@ccs.sogang.ac.kr , KR;(2) CEDAR, State University of New York at Buffalo, 520 Lee Entrance, Amherst, NY 14228–2567, USA , US |
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Abstract: | This paper presents an end-to-end system for reading handwritten page images. Five functional modules included in the system
are introduced in this paper: (i) pre-processing, which concerns introducing an image representation for easy manipulation
of large page images and image handling procedures using the image representation; (ii) line separation, concerning text line
detection and extracting images of lines of text from a page image; (iii) word segmentation, which concerns locating word
gaps and isolating words from a line of text image obtained efficiently and in an intelligent manner; (iv) word recognition,
concerning handwritten word recognition algorithms; and (v) linguistic post-pro- cessing, which concerns the use of linguistic
constraints to intelligently parse and recognize text. Key ideas employed in each functional module, which have been developed
for dealing with the diversity of handwriting in its various aspects with a goal of system reliability and robustness, are
described in this paper. Preliminary experiments show promising results in terms of speed and accuracy.
Received October 30, 1998 / Revised January 15, 1999 |
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Keywords: | :Handwriting recognition – Page image processing – Word segmentation – Neural networks |
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