Unsupervised Decomposition of Color Document Images by Projecting Colors to a Spherical Surface

A decomposition method for color document images is proposed in this paper. A two dimensional feature surface is constructed from the input color image, and then a novel and unsupervised method based on contour lines is proposed to segment the surface. In detail, colors of the image pixels are firstly projected to a spherical surface whose center is the background color. The projection is used to transform the observed colors to the corresponding 'ideal' foreground colors. Then the spherical surface is segmented into several non-overlapped regions, and each region corresponds to an individual layer of the input color document image. Finally, the image pixels are projected to the spherical surface and classified to the corresponding layers.

[1]  Nasser Sherkat,et al.  Use of colour for hand-filled form analysis and recognition , 2005, Pattern Analysis and Applications.

[2]  Daniel P. Lopresti,et al.  Extracting text from WWW images , 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.

[3]  Sang Uk Lee,et al.  Color image segmentation based on 3-D clustering: morphological approach , 1998, Pattern Recognit..

[4]  Luc Vincent,et al.  Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Misako Suwa,et al.  Color Mixing Correction for Post-printed Patterns on Colored Background Using Modified Particle Density Model , 2006 .

[6]  Horst Bunke,et al.  Identification of text on colored book and journal covers , 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

[7]  Marcel Worring,et al.  Segmentation of color documents by line oriented clustering using spatial information , 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).