Flatten preprocessing technology of 3D space handwriting based on PCA
TAN Xiaofeng， SHEN Haibin
（Institute of VLSI Design and Research, Zhejiang University, Hangzhou 310027, China）
Abstract:  In order to change 3D handwriting problem to 2D handwriting problem, a novel flatten preprocessing technology of 3D space handwriting was proposed, the locus of 3D handwriting was flatten by the algorithm based on principal component analysis (PCA). In the algorithm, the projection plane was only determined by statistic character of the locus. The projection plane would adapt to the degree change of handwriting to generate the best projection. At last, the projecting results of both fixed plane projecting and PCA analyzed plane projecting are compared to prove the effectiveness of PCA based projecting algorithm.
Key words: 3D space handwriting recognition; principal component analysis (PCA); flatten; preprocessing