Abstract: A processor is provided with a first set of digital information that includes a first structured representation of a document. From the first set of digital information, the processor produces a second set of digital information that includes a second structured representation of the document. The second structured representation is a lossless representation and includes a set of tokens and a set of positions. At least one token in the plurality of tokens has an associated semantic label which may be a character code associated with various font types in the second structured representation of the document. The semantic label may be obtained and stored in the second structured representation of the document by a computer program. The first and second representations may be resolution dependent structured representations and have, respectively, first and second characteristic resolutions. The first representation, but not the second, is provided in digital form to an untrusted recipient.

Abstract: A processor is provided with a first set of digital information that includes a first structured representation of a document. From the first set of digital information, the processor produces a second set of digital information that includes a second structured representation of the document. The second structured representation is a lossless representation and includes a set of tokens and a set of positions. At least one token in the plurality of tokens has an associated semantic label which may be a character code associated with various font types in the second structured representation of the document. The semantic label may be obtained and stored in the second structured representation of the document by a computer program. The first and second representations may be resolution dependent structured representations and have, respectively, first and second characteristic resolutions. The first representation, but not the second, is provided in digital form to an untrusted recipient.

Abstract: A processor is provided with a first set of digital information that includes a first structured representation of a document. From the first set of digital information, the processor produces a second set of digital information that includes a second structured representation of the document. The second structured representation is a lossless representation and includes a set of tokens and a set of positions. At least one token in the plurality of tokens has an associated semantic label which may be a character code associated with various font types in the second structured representation of the document. The semantic label may be obtained and stored in the second structured representation of the document by a computer program. The first and second representations may be resolution dependent structured representations and have, respectively, first and second characteristic resolutions. The first representation, but not the second, is provided in digital form to an untrusted recipient.

Abstract: A method in which first and second representations of a document are provided, for example, by being made available on one or more server computers connected to a computer network, such as the Internet or a corporate intranet. The first and second representations are resolution-dependent structured representations and have, respectively, first and second characteristic resolutions, the second resolution being greater than the first. The first representation, but not the second, is provided in digital form to an untrusted recipient. For example, the first representation can be transmitted through the network from the server on which the first representation is available to a client computer connected to the network. The second representation is converted to a third representation of the document, the third representation being a representation in a human-readable, nondigital form.

Abstract: A method and apparatus for applying morphological image criteria that identify image units in an undecoded document image having significant information content, and for retrieving related data that supplements the document either from elsewhere within the document or a source external to the document. The retrieved data can result from character code recognition or template matching of the identified significant image units, or the retrieved data can result directly from an analysis of the morphological image characteristics of the identified significant image units. A reading machine can allow a user to browse and select documents or segments thereof, and to obtain interactive retrieval of documents and supplemental data.

Abstract: Digital machine readable full color specifications of full color source images are embedded in the printed hardcopy versions of those images; typically through the use of a self-clocking glyph code to minimize the visual impact of the embedded data. This color specification then can be recovered from a hardcopy version of the original source image, even if the hardcopy is monochromatic. Thus, a digital highlight color copier can use this color specification to index into a plurality of different full-color to highlight-color transformse to select the transform or transorms that are most appropriate for rendering a highlight color copy of the source image.