UM
Applied some new features in off-line recognition of totally unconstrained handwritten numerals using neural network
Dong Lin; Chen Xixian; Wu Shanpei; Tang Yuanyan
1998
Source PublicationProceedings of the IEEE International Conference on Intelligent Processing Systems, ICIPS
Volume1
Pages392-395
AbstractIn this paper some new features in recognition of totally unconstrained handwritten numerals are applied. The new features are base on image projection and do wavelet transformation, then at the deferent scale calculate the projection's fractal dimension, use the fractal dimension as feature applied to neural network input. The new features have some advantages, it is rotate invariant, and it can represent the image's characteristic at deferent scale. In order to verify the performance of the new features, experiments with a handwritten numeral data base collected from Beijing Postal center were performed. The correct recognition rate in training set was 99.55% in testing set was 96.5%.
URLView the original
Language英語
Fulltext Access
Document TypeConference paper
CollectionUniversity of Macau
AffiliationBeijing University of Posts and Telecommunications
Recommended Citation
GB/T 7714
Dong Lin,Chen Xixian,Wu Shanpei,et al. Applied some new features in off-line recognition of totally unconstrained handwritten numerals using neural network[C],1998:392-395.
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