Proceedings ArticleDOI
A chain coding approach for real-time recognition of on-line handwritten characters
Hung Yuen
- Vol. 6, pp 3426-3429
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TLDR
A novel chain coding approach is proposed for real-time recognition of isolated on-line handwritten English characters and it is shown that this approach can be successful on a 486 class PC.Abstract:
A novel chain coding approach is proposed for real-time recognition of isolated on-line handwritten English characters. A new type of generalized chain code (GCC) is proposed for lossless encoding of the variably-spaced handwritten data points produced naturally by an electronic writing tablet due to the fixed sampling rate and the variable writing speed. Distinctive features for each character are then extracted based on the segmented cumulative differential normalized GCC values and structural descriptors. Experiments showed successful real-time recognition of isolated on-line handwritten lowercase English characters on a 486 class PC.read more
Citations
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Adaptive methods for on-line recognition of isolated handwritten characters
TL;DR: This work introduces several adaptation strategies which add new writer-dependent prototypes into the initial writer-independent prototype set, reshape the existing prototypes with a Learning Vector Quantization (LVQ)-based algorithm, and inactivate poorly performing prototypes.
Dissertation
Online Handwritten Gurmukhi Character Recognition
TL;DR: The main goal of this thesis is to develop an online handwritten Gurmukhi character recognition system that can be used for quick and natural way of communication between computer and human beings.
Patent
Dynamic handwriting verification, handwriting-based user authentication, handwriting data generation, and handwriting data preservation
Martin Holden,Nicholas Mettyear +1 more
TL;DR: In this paper, a handwriting verification method comprises obtaining a handwriting test sample containing a plurality of available parameters, extracting geometric parameters, deriving geometric features comprising an xposition value and a y-position value for each of the feature points in the test sample, performing feature matching between geometric features of the test samples and a reference sample, determining a handwritten verification result based at least in part on the feature matching, and outputting the handwriting verification result.
Patent
Dynamic handwriting verification and handwriting-based user authentication
TL;DR: A handwriting verification method comprises obtaining a handwriting test sample containing a plurality of available parameters, extracting geometric parameters, deriving geometric features comprising an xposition value and a y-position value for each of feature points in the test sample, performing feature matching between geometric features of the test samples and a reference sample, determining a handwriting verification result based at least in part on the feature matching, and outputting the handwriting verification results as discussed by the authors.
Proceedings ArticleDOI
Recognition of Segmented Online Arabic Handwritten Characters of the ADAB Database
Sherif Abdel Azeem,Hany Ahmed +1 more
TL;DR: A large database of segmented online handwritten Arabic characters is introduced and the performance of various feature extraction techniques on the segmented characters are reported to serve as a benchmark for any future work on the problem of online Arabic characters recognition.
References
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Journal ArticleDOI
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Proceedings ArticleDOI
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TL;DR: A general recognition system for large vocabulary, writer independent, unconstrained handwritten text, that performs recognition in real-time on 486 class PC platforms without the large amounts of memory required for traditional HMM based systems.
Journal ArticleDOI
Hidden Markov models applied to on-line handwritten isolated character recognition
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TL;DR: Hidden Markov models are used to model the generation of handwritten, isolated characters, and an average error rate of 6.9% was achieved over the alphabet consisting of the lowercase English alphabet.
Journal ArticleDOI
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