NDLI: A hybrid system for handprinted word recognition

Content Provider	IEEE Xplore Digital Library
Author	Fontaine, T. Shastri, L.
Copyright Year	1993
Description	Author affiliation: Dept. of Comput. & Inf. Sci., Pennsylvania Univ., Philadelphia, PA, USA (Fontaine, T.; Shastri, L.)
Abstract	The authors describe an alternative approach to handprinted word recognition using a hybrid of procedural and connectionist techniques. They utilize two connectionist components, which are to concurrently make recognition and segmentation hypotheses, and to perform refined recognition of segmented characters. Both networks are governed by a procedural controller which incorporates systematic domain knowledge and procedural algorithms to guide recognition. A recognition method is presented whereby an image is processed over time by a spatiotemporal connectionist network. The scheme offers several attractive features including shift-invariance and retention of local spatial relationships along the dimensions being temporalized, a reduction in the number of free parameters, and the ability to process arbitrarily long images. Recognition results on a set of real-world isolated zip code digits are comparable to the best reported to date with a 96.0% recognition rate. A pilot implementation of the complete system, and results on overlapping and touching pairs of zip code digits are reported.<>
Starting Page	227
Ending Page	234
File Size	771549
Page Count	8
File Format	PDF
ISBN	0818638400
DOI	10.1109/CAIA.1993.366606
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-03-01
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Character recognition Image segmentation Image recognition Face recognition Control systems Pattern recognition Information science Spatiotemporal phenomena Artificial intelligence Packaging machines
Content Type	Text
Resource Type	Article

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