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Using hierarchical shape models to spot keywords in cursive handwriting data

Burl, M. C. and Perona, P. (1998) Using hierarchical shape models to spot keywords in cursive handwriting data. In: 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society , Los Alamitos, CA, pp. 535-540. ISBN 0-8186-8497-6 http://resolver.caltech.edu/CaltechAUTHORS:20111221-152416737

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Abstract

Different instances of a handwritten word consist of the same basic features (humps, cusps, crossings, etc.) arranged in a deformable spatial pattern. Thus, keywords in cursive text can be detected by looking for the appropriate features in the “correct” spatial configuration. A keyword can be modeled hierarchically as a set of word fragments, each of which consists of lower-level features. To allow flexibility, the spatial configuration of keypoints within a fragment is modeled using a Dryden-Mardia (DM) probability density over the shape of the configuration. In a writer-dependent test on a transcription of the Declaration of Independence (~1300 words, ~7500 characters), the method detected all eleven instances of the keyword “government” with only four false positives.


Item Type:Book Section
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http://dx.doi.org/10.1109/CVPR.1998.698657 DOIUNSPECIFIED
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=698657PublisherUNSPECIFIED
Additional Information:© 1998 IEEE. Date of Current Version: 06 August 2002. This research has been carried out and/or sponsored in part by (i) the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration, (ii) the Caltech Center for Neuromorphic Systems Engineering as a part of the NSF Engineering Research Center Program, and (iii) the California Trade and Commerce Agency, Office of Strategic Technology. The authors also wish to thank Mario Munich for his assistance.
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JPL/CaltechUNSPECIFIED
NSF Caltech Center for Neuromorphic Systems Engineering (CNSE)UNSPECIFIED
California Trade and Commerce Agency, Office of Strategic TechnologyUNSPECIFIED
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INSPEC Accession Number 5985893
Record Number:CaltechAUTHORS:20111221-152416737
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20111221-152416737
Official Citation:Burl, M.C.; Perona, P.; , "Using hierarchical shape models to spot keywords in cursive handwriting data," Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on , vol., no., pp.535-540, 23-25 Jun 1998 doi: 10.1109/CVPR.1998.698657 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=698657&isnumber=15135
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:28556
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:23 Dec 2011 17:21
Last Modified:23 Dec 2011 17:21

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