Using standard image processing techniques for color image segmentation, ignores the special characteristics documents exhibit. We have developed a technique incorporating generic characteristics of color document creation and document scanning. The method automatically detects the constituent components of the document. Textual components can then be passed to an OCR-engine. It also provides a first analysis of the layout of the color document.
Result are good.
The method provides a proper basis for further document indexing and also provides significant reduction of storage space as type specific compression techniques can be used. The automatic classification of objects within photographic images is still a far-fetched goal in pattern recognition. However, human users are quite capable of separating objects from the background and naming or labeling such objects. Experimental results reveal that the classification performance depends on the geometrical information present in the object outlines. For simple shapes, the reverse is true.