SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Feature extraction from faces using deformable templates
International Journal of Computer Vision
Object Matching Using Deformable Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Development of a Structural Deformable Model for Handwriting Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
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In this paper, a novel 1-D deformation transformation based on trigonometric function for handwritten Chinese character shape correction is proposed. With a suitable selection of deformation parameters, the 1-D deformation transformation could deform a given handwritten Chinese character into 24 different handwriting styles. A deforming parameter controls the deformation degree for each style. The proposed deformation transformation could be applied as a non-linear shape correction method for Chinese character recognition. Our preliminary experiment has showed the effectiveness of the proposed approach.