Proceedings ArticleDOI
Recognising letters in on-line handwriting using hierarchical fuzzy inference
A. Hennig,Nasser Sherkat,R.J. Whitrow +2 more
- Vol. 2, pp 936-940
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TLDR
A production rule system using Hierarchical Fuzzy Inference is presented in order to exploit this hierarchical property of cursive script and the performance of letter spotting is compared with an alternative method.Abstract:
The recognition of unconstrained handwriting has to cope with the ambiguity and variability of cursive script. Preprocessing techniques are often applied to on-line data before representing the script as basic primitives, resulting in the propagation of errors introduced during pre-processing. This paper therefore combines pre-processing of the data (i.e. tangential smoothing) and encoding into primitives (Partial Strokes) in a single step. Finding the correct character at the correct place (i.e. letter spotting) is the main problem in non-holistic recognition approaches. Many cursive letters are composed of common shapes of varying complexity that can in turn consist of other subshapes. In this paper, we present a production rule system using Hierarchical Fuzzy Inference in order to exploit this hierarchical property of cursive script. Shapes of increasing complexity are found on a page of handwriting until letters are finally spotted. Zoning is then applied to verify their vertical position. The performance of letter spotting is compared with an alternative method.read more
Citations
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Journal ArticleDOI
Online and off-line handwriting recognition: a comprehensive survey
TL;DR: The nature of handwritten language, how it is transduced into electronic data, and the basic concepts behind written language recognition algorithms are described.
Journal ArticleDOI
Large vocabulary off-line handwriting recognition: A survey
TL;DR: This article will discuss the methods and principles that have been proposed to handle large vocabularies and identify the key issues affecting their future deployment.
Large vocabulary off-line handwritten word recognition
TL;DR: Novel search strategies and a novel verification approach are introduced that allow us to achieve a 120 speedup and 10% accuracy improvement over a state-of-art baseline recognition system for a very-large vocabulary recognition task (80,000 words).
Journal ArticleDOI
Exploiting zoning based on approximating splines in cursive script recognition
A. Hennig,Nasser Sherkat +1 more
TL;DR: Using entire lines of text rather than individual words is shown to improve the zoning accuracy, especially for short words, and the new method represents an improvement over existing methods in terms of range of applicability, zone-line precision and zoning-classification accuracy.
Patent
A method and apparatus for decoding handwritten characters
TL;DR: In this paper, a method of performing written character recognition, including sequentially comparing a given input character with one of a series of stored character models, is presented, where the character model which is assigned the highest score is selected and classifying the input character as the character associated with that character model.
References
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Journal ArticleDOI
Computer Processing of Line-Drawing Images
TL;DR: Various forms of line drawing representation are described, different schemes of quantization are compared, and the manner in which a line drawing can be extracted from a tracing or a photographic image is reviewed.
Journal ArticleDOI
Normalizing and restoring on-line handwriting
Wacef Guerfali,Réjean Plamondon +1 more
TL;DR: An overview is presented of the principal on-line techniques for handwriting preprocessing and word normalization, covering the major difficulties encountered and the various approaches usually used to resolve these problems.
Journal ArticleDOI
A trainable gesture recognizer
TL;DR: A gesture input filter and recognizer is built, a novel combination of two traditional techniques; angle filtering and multiscale recognition.
Journal ArticleDOI
A fuzzy-syntactic approach to allograph modeling for cursive script recognition
Marc Parizeau,Réjean Plamondon +1 more
TL;DR: This method uses fuzzy-shape grammars to define the morphological characteristics of conventional allographs which can be viewed as basic knowledge for developing a writer independent recognition system, and shows that system performances are highly correlated with human performances.
Journal ArticleDOI
Preprocessing techniques for cursive script word recognition
M.K. Brown,S. Ganapathy +1 more
TL;DR: Results obtained from this study are promising and suggest that closed-loop verification is a potentially more useful technique than previous open-loop processing approaches.
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