NDLI: Ring-projection-wavelet-fractal signatures: a novel approach to feature extraction

Content Provider	IEEE Xplore Digital Library
Author	Tang, Y.Y. Li, B.F. Hong Ma Jiming Lin
Copyright Year	1992
Abstract	In this brief, we present a novel approach to optical character recognition that utilizes ring-projection-wavelet-fractal signatures (RP-WFS). In particular, the proposed approach reduces the dimensionality of a 2-D pattern by way of a ring-projection method and, thereafter, performs Daubechies' wavelet transformation on the derived 1-D pattern to generate a set of wavelet transformation subpatterns, namely, curves that are nonself-intersecting. Further, from the resulting nonself-intersecting curves, the divider dimensions are readily computed. These divider dimensions constitute a new feature vector for the original 2-D pattern, defined over the curves' fractal dimensions. We have conducted several experiments in which a set of printed alphanumeric symbols of varying fonts and orientation were classified, based on the formulation of our new feature vector. The results obtained from these experiments have consistently shown the character recognition approach with the proposed feature vector can yield an excellent classification rate of 100%.
Sponsorship	IEEE Circuits and Systems Society
Starting Page	1130
Ending Page	1134
Page Count	5
File Size	182924
File Format	PDF
ISSN	10577130
Volume Number	45
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-08-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Wavelet analysis Pattern recognition Character recognition Optical character recognition software Fractals Computer science Optical signal processing Research and development Image analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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