Recognition of License Plate Images: Issues and Perspectives
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Information Capturing Camera and Developmental Issues
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Character Recognition in Bookshelf Images by Automatic Template Selection
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Automatic text detection and tracking in digital video
IEEE Transactions on Image Processing
Restoring 2D Content from Distorted Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated Book Reader Design for Persons with Blindness
ICCHP '08 Proceedings of the 11th international conference on Computers Helping People with Special Needs
The restoration of camera documents through image segmentation
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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Document analysis and graphics recognition algorithms are normally applied to the processing of images of 2D documents scanned when flattened against a planar surface. Technological advancements in recent years have led to a situation in which digital cameras with high resolution are widely available. Consequently, traditional graphics recognition tasks may be updated to accommodate document images captured through a camera in an uncontrolled environment. In this paper the problem of document image rectification is discussed. The rectification targets the correction of perspective and geometric distortions of document images taken from uncalibrated cameras, by synthesizing new views which are better suited for existing graphics recognition and document analysis techniques. The proposed approach targets cases in which the document is not necessarily flat, without relaying on specific modeling assumptions, and by utilizing one or more overlapping views of the document. Document image rectification results are provided for several cases.