Off-Line, Handwritten Numeral Recognition by Perturbation Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Pattern Recognition Using a New Transformation Distance
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Training Set Expansion in Handwritten Character Recognition
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Improved Low Complexity Fully Parallel Thinning Algorithm
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
The Effect of Large Training Set Sizes on Online Japanese Kanji and English Cursive Recognizers
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Recognition of Cursive Roman Handwriting - Past, Present and Future
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Generation of synthetic data sets for evaluating the accuracy of knowledge discovery systems
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Handwriting Matching and Its Application to Handwriting Synthesis
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Style-preserving English handwriting synthesis
Pattern Recognition
ECML '07 Proceedings of the 18th European conference on Machine Learning
Retrieval of online handwriting by synthesis and matching
Pattern Recognition
Synthetic handwritten CAPTCHAs
Pattern Recognition
Synthetic on-line signature generation. Part I: Methodology and algorithms
Pattern Recognition
Off-line cursive script recognition: current advances, comparisons and remaining problems
Artificial Intelligence Review
Example-based synthesis of 3D object arrangements
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Writer recognition enhancement by means of synthetically generated handwritten text
Engineering Applications of Artificial Intelligence
Generation of learning samples for historical handwriting recognition using image degradation
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
An efficient parametrization of character degradation model for semi-synthetic image generation
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
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A perturbation model for generating synthetic textlinesfrom existing cursively handwritten lines of text producedby human writers is presented. Our purpose is to improvethe performance of an HMM-based off-line cursive handwritingrecognition system by providing it with additionalsynthetic training data. Two kinds of perturbations are applied,geometrical transformations and thinning/thickeningoperations. The proposed perturbation model is evaluatedunder different experimental conditions.