NDLI: Structural feature extraction on multiple bases with application to handwritten character recognition systems

Content Provider	IEEE Xplore Digital Library
Author	Nishida, H.
Copyright Year	1993
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Aizu Univ., Fukushima, Japan (Nishida, H.)
Abstract	H. Nishida and S. Mori (1992) proposed a clear, rigorous, and powerful method for the structural description of character shapes in terms of quasi-topological features (convexity and concavity), directional features, and singular points (branch points and crossings). Shapes are described by few components with rich features and shape prototypes (structural models) can be constructed automatically from the training data. However, the number of directions is fixed to 4, and more directions such as 8 or 16 cannot be dealt with. For various applications of Nishida and Mori's method, the author presents a method for structural analysis and description of simple arcs or closed curves based on 2/sup m/ (m = 2,3,4,...) directional features and convex/concave features. Software OCR systems without specialized hardware have attracted much attention recently. Based on the method of structural analysis and description, the author describes a software implementation of a handwritten character recognition system with a multi-stage strategy.<>
Starting Page	27
Ending Page	30
File Size	417277
Page Count	4
File Format	PDF
ISBN	0818649607
DOI	10.1109/ICDAR.1993.395789
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-10-20
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Character recognition Handwriting recognition Shape Application software Software systems Hardware Training data Optical character recognition software Computer science
Content Type	Text
Resource Type	Article

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