Abstract: A method for matching documents based on spatial layout of regions based on a shape similarity model for detecting similarity between general 2D objects. The method uses the shape similarity model to determine if two documents are similar by logical region generation in which logical regions are automatically derived from information in the documents to be matched, region correspondence, in which a correspondence is established between the regions on the documents, pose computation in which the individual transforms relating corresponding regions are recovered, and pose verification in which the extent of spatial similarity is measured by projecting one document onto the other using the computed pose parameters.

Abstract: A method and system of recognizing handwritten words in scanned documents, wherein by processing a document containing handwriting, features for word localization are extracted from handwritten words contained in said document through basis points taken from a single curve of text lines. The method is independent of page orientation, and does not assume that the individual lines of handwritten text are parallel, and the method does not require that word regions be aligned with text line orientation wherein intra-word statistics are derived from sample pages rather than using a fixed threshold. The method has applications in digital libraries, handwriting tokenization, document management and OCR systems.

Abstract: A method for matching objects based on spatial layout of regions based on a shape similarity model for detecting similarity between general 2D objects. The method uses the shape similarity model to determine if two objects are similar by logical region generation in which logical regions are automatically derived from information in the objects to be matched, region correspondence, in which a correspondence is established between the regions on the objects, pose computation in which the individual transforms relating corresponding regions are recovered, and pose verification in which the extent of spatial similarity is measured by projecting one document onto the other using the computed pose parameters. The method of the invention can be carried out in a microprocessor-based system capable of being programmed to carry out the method of the invention.

Abstract: The present invention handles fully-lined, semi-lined and line-less cell tables by identifying the cells and cell separators during page recomposition processes as part of optical character recognition processes. The invention accomplishes such by iteratively identifying cell separators and cells. The processes accomplishes this by iteratively merging word boxes into cells, iteratively finding separators, and iteratively merging cells bounded by the same separators, and repeating these steps until the correct cell structure is found. With this method, rows are estimated, close words are merged into cells, columns are then estimated, cells within columns are merged, columns re-estimated, cells in the same row and column are merged into bigger cells, and then rows and cells are merged according to the detection of various table styles. This invention handles large complex tables with multiple lines of symbols per cell. This method handles multiple line cells in lined, semi-lined and line-less tables.

Abstract: A data processing system for the storage of persistent and non-persistent data in a queue, and a method for the storage of data which is required to survive a system failure (persistent data) and data which is not required to survive a system failure (non-persistent data) on a single queue, are disclosed. The method involves receiving persistent and non-persistent data to be stored in a queue, then marking the data in time sequence order, before storing the persistent data in a first set of data pages and the non-persistent data in a second set of data pages. Upon receiving a request for removal of data from the queue, both the first and second sets of pages are checked and the data is removed in time sequence order. A log is preferably created to enable recovery in the event of failure and restart of the queue. When receiving and removing persistent data to be stored in and to be removed from the queue, log entries are made of changes to the persistent data only.