Two-stage neural-network-based technique for Urdu character two-dimensional shape representation, classification, and recognition

Dalila B. Megherbi; S. M. Lodhi; A. J. Boulenouar

doi:10.1117/12.421157

21 March 2001 Two-stage neural-network-based technique for Urdu character two-dimensional shape representation, classification, and recognition

Dalila B. Megherbi, S. M. Lodhi, A. J. Boulenouar

Author Affiliations +

Proceedings Volume 4390, Applications and Science of Computational Intelligence IV; (2001) https://doi.org/10.1117/12.421157
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

This work is in the field of automated document processing. This work addresses the problem of representation and recognition of Urdu characters using Fourier representation and a Neural Network architecture. In particular, we show that a two-stage Neural Network scheme is used here to make classification of 36 Urdu characters into seven sub-classes namely subclasses characterized by seven proposed and defined fuzzy features specifically related to Urdu characters. We show that here Fourier Descriptors and Neural Network provide a remarkably simple way to draw definite conclusions from vague, ambiguous, noisy or imprecise information. In particular, we illustrate the concept of interest regions and describe a framing method that provides a way to make the proposed technique for Urdu characters recognition robust and invariant to scaling and translation. We also show that a given character rotation is dealt with by using the Hotelling transform. This transform is based upon the eigenvalue decomposition of the covariance matrix of an image, providing a method of determining the orientation of the major axis of an object within an image. Finally experimental results are presented to show the power and robustness of the proposed two-stage Neural Network based technique for Urdu character recognition, its fault tolerance, and high recognition accuracy.

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Dalila B. Megherbi, S. M. Lodhi, and A. J. Boulenouar "Two-stage neural-network-based technique for Urdu character two-dimensional shape representation, classification, and recognition", Proc. SPIE 4390, Applications and Science of Computational Intelligence IV, (21 March 2001); https://doi.org/10.1117/12.421157

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KEYWORDS

Neural networks

Optical character recognition

Image filtering

Digital filtering

Image segmentation

Feature extraction

Detection and tracking algorithms

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