NDLI: A Stroke-Density Based Double Elastic Meshing Feature Extraction Method for Chinese Handwritten Character Recognition

Content Provider	IEEE Xplore Digital Library
Author	Wei Wei Ning Bo
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci. & Software, Hebei Univ. of Technol., Tianjin, China (Wei Wei; Ning Bo)
Abstract	Stroke-density based elastic meshing method can not only absorb the deformations of stroke in different handwritings but also avoid the non-uniform width of strokes which caused by using a nonlinear normalization method. In view of existing situation that the stroke density functions do not consider the distribution of strokes in diagonal direction, the stroke-density based vertical-horizontal elastic meshing method could not effectively extract the feature of left-falling and right-falling stroke in a Chinese handwritten character image, we propose a new stroke density definition of a diagonal direction and combine it with diagonal elastic meshing technique to constitute meshes. Then, combining the vertical-horizontal elastic meshes with the diagonal's, we get the stroke-density based double elastic meshing approach. The experimental results have verified the effectiveness of this method.
Starting Page	816
Ending Page	821
File Size	508616
Page Count	6
File Format	PDF
ISBN	9780769550503
DOI	10.1109/ICIG.2013.164
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Integrated circuits Computers feature extraction Writing Chinese handwritten character recognition Density functional theory Feature extraction Educational institutions stroke density elastic meshes Character recognition
Content Type	Text
Resource Type	Article

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