A generalized character recognition algorithm: A graphical approach

doi:10.1016/0031-3203(89)90043-5

Pattern Recognition

Volume 22, Issue 4, 1989, Pages 347-350

https://doi.org/10.1016/0031-3203(89)90043-5 Get rights and content

Abstract

In this paper, a novel algorithm has been presented for the recognition of English alphabets with a great deal of flexibility. This algorithm can be extended to include a variety of characters including English small letters, special characters, etc. An interesting method for representing these characters has also been presented which helps in the analyses and comparison of this scheme with some popular techniques in vogue.

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Pattern Recognition
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There are more references available in the full text version of this article.

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Feature extraction methods for character recognition - A survey
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This paper presents an overview of feature extraction methods for off-line recognition of segmented (isolated) characters. Selection of a feature extraction method is probably the single most important factor in achieving high recognition performance in character recognition systems. Different feature extraction methods are designed for different representations of the characters, such as solid binary characters, character contours, skeletons (thinned characters) or gray-level subimages of each individual character. The feature extraction methods are discussed in terms of invariance properties, reconstructability and expected distortions and variability of the characters. The problem of choosing the appropriate feature extraction method for a given application is also discussed. When a few promising feature extraction methods have been identified, they need to be evaluated experimentally to find the best method for the given application.
Transformations and distortions tolerant recognition of numerals using neural networks
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A New Set of Constraint-Free Character Recognition Grammars
1990, IEEE Transactions on Pattern Analysis and Machine Intelligence

^∗: Mailing address: E5 Professors' Quarters, I.I.Sc, Bangalore-12, India.

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Pattern Recognition

A generalized character recognition algorithm: A graphical approach

Abstract

An overview of character recognition methodologies

Pattern Recognition

A syntactic approach for hand-written formula recognition

IEEE Transac. Pattern Anal. Mach. Intell.

A method of recognition and representation of Korean characters by tree grammars

IEEE Transac. Pattern Anal. Mach. Intell.

A Hidden Markov Model object recognition technique for incomplete and distorted corner sequences

Feature extraction methods for character recognition - A survey

Transformations and distortions tolerant recognition of numerals using neural networks

A New Set of Constraint-Free Character Recognition Grammars