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The proposed global normalization method, MCBA method, combines centroid alignment and inner area com- pressing/stretching, and hence is able to correct both the skewness with respect to the centroid and the imbalance of inner/outer density.
This paper proposes a new global transformation method, named modified centroid-boundary alignment (MCBA) method, for HCCR. The previous CBA method can ...
This paper proposes a new global transformation method, named modified centroid-boundary alignment (MCBA) method, for HCCR. The previous CBA method can ...
Nonlinear normalization (NLN) based on line den- sity equalization has been widely used in handwritten. Chinese character recognition (HCCR).
This paper proposes a new global transformation method, named modified centroid-boundary alignment (MCBA) method, for HCCR. The previous CBA method can ...
Liu, C.L., Marukawa, K.: Global shape normalization for handwritten Chinese character recognition: A new method. In: Proc. 9th Int. Workshop on Frontiers of ...
Global shape normalization for handwritten Chinese character recognition: a new method ... normalization methods for handwritten Chinese character recognition.
The nonlinear normalization (NLN) method based on line density equalization is popularly used in handwritten Chinese character recognition.
The normalization methods include linear normalization, nonlinear normalization (NLN) based on line density equalization, moment normalization (MN), bi-moment ...
top This paper presents novel feature extraction and classification methods for online handwritten Chinese character recognition (HCCR). The X-graph and Y-graph ...