Document Image De-warping for Text/Graphics Recognition
作者： Changhua Wu , Gady Agam
关键词: Image warping 、 Vector graphics 、 Graphics 、 Image processing 、 Sub-pixel resolution 、 Document layout analysis 、 Distortion 、 Real-time computer graphics 、 3D computer graphics 、 Computer science 、 Artificial intelligence 、 Computer vision 、 Computer graphics (images) 、 2D computer graphics
摘要: Document analysis and graphics recognition algorithms are normally applied to the processing of images 2D documents scanned when flattened against a planar surface. Technological advancements in recent years have led situation which digital cameras with high resolution widely available. Consequently, traditional tasks may be updated accommodate document captured through hand-held camera an uncontrolled environment. In this paper problem perspective geometric deformations correction is discussed. The proposed approach uses texture image so as infer structure distortion. A two-pass warping algorithm then used correct images. addition being language independent, handle that include multiple fonts, math notations, graphics. de-warped contain less distortions better suited for existing text/graphics techniques.
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