关键词: 维吾尔文笔迹, 文本无关, 特征融合, 笔迹鉴别, 曲向特征, 距离度量

Abstract: Concerning the instability of Uighur handwriting identification by texture, the authors proposed a text-independent method of handwriting identification based on feature fusion, and feature fusion involved mesh-window microstructure feature and curvature-direction feature. On the basis of extracting edge strokes from original image, a large number of local window models were created. By scanning the edge image, the probability density distribution of the feature fusion structure was obtained. And a variety of distance formulas were used to calculate the distance between the probability density feature vectors. The experimental identification rate is 89.2% in the database involving 80 handwritings. This method can portray the local writing trends of the handwritings and the curvature-direction of the strokes, the proposed method adopts probability density distribution to statistically record the mesh-window microstructure features and the curvature-direction features, and the identification effect is satisfactory.

Key words: Uighur handwriting, text-independence, feature fusion, handwriting identification, curvature-direction feature, distance metric