Eigen-deformations for elastic matching based handwritten character recognition
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摘要
Deformations in handwritten characters have category-dependent tendencies. In this paper, the estimation and the utilization of such tendencies called eigen-deformations are investigated for the better performance of elastic matching based handwritten character recognition. The eigen-deformations are estimated by the principal component analysis of actual deformations automatically collected by the elastic matching. From experimental results it was shown that typical deformations of each category can be extracted as the eigen-deformations. It was also shown that the recognition performance can be improved significantly by using the eigen-deformations for the detection of overfitting, which is the main cause of the misrecognition in the elastic matching based recognition methods.
论文关键词:Handwritten character recognition,Elastic matching,Eigen-deformation,Principal component analysis
论文评审过程:Received 7 June 2002, Accepted 13 January 2003, Available online 25 March 2003.
论文官网地址:https://doi.org/10.1016/S0031-3203(03)00039-6