Abstract: Disclosed herein is a method for identifying a constellation of alignment marks within an arrangement of computer readable marks in an image (1412), the arrangement of computer readable marks (1412) including alignment marks (1401-1406) and data carrying marks (1407-1410). The alignment marks (1401-1406) define a reference grid within the arrangement of computer readable marks and the data carrying marks (1407-1410) are modulated with respect to the reference grid to encode data. The method selects at least two marks (1501, 1502) from the arrangement of computer readable marks and determines a rotation center with reference to the selected marks (1501, 1502). The method then determines rotated positions for the selected marks by rotating each of the selected marks by a predetermined angle about the rotation center.

Abstract: A method of encoding information in a document using a plurality of marks (104), the information comprising first data and second data, the method comprising the steps of encoding the first data using a first plurality of arrays of modulated marks disposed in a corresponding first plurality of tiles (610) spaced apart from each other at a first repeat rate (660); and encoding the second data using a second plurality of arrays of modulated marks disposed in a corresponding second plurality of tiles (680) spaced apart from each other at a second repeat rate (670); wherein: the second repeat rate is different to the first repeat rate; and the second plurality of tiles are embedded within the first plurality of tiles.

Abstract: Disclosed is a method of decoding a first barcode and a second barcode, different from the first barcode. The barcodes have typically been printed on a page and are derived from image scanning. The first barcode comprises a plurality of marks modulated about a first grid to redundantly encode data and the second barcode comprising a plurality of marks modulated about a second grid. The method estimates (810) the first grid from a bitmap representation (805) of at least a portion of the page, using modulated marks contained therein. The method determines (820) a first barcode region from the first grid, the first barcode region being a portion of the first barcode, followed by estimating a second grid from the bitmap representation, using modulated marks contained therein.

Abstract: A method of removing a barcode from the bitmap representation of a document is disclosed. The barcode comprises a plurality of data encoding symbols (102) and (104). The method starts with the step of scanning said document containing the barcode to form the bitmap representation of the at least a portion of the document. From said bitmap representation, the plurality of data encoding symbols (102) and (104), defining said barcode, are identified and the barcode is decoded at least partially. The locations of data encoding symbols (102) and (104) in the bitmap representation of said document are then identified, using data obtained during the at least partial decoding of said barcode. Finally, at least some of the data encoding symbols (102) and (104) are removed from said bitmap representation of said document.

Abstract: Disclosed herein is a method for identifying a constellation of alignment marks within an arrangement of computer readable marks in an image (1412), the arrangement of computer readable marks (1412) including alignment marks (1401-1406) and data carrying marks (1407-1410). The alignment marks (1401-1406) define a reference grid within the arrangement of computer readable marks and the data carrying marks (1407-1410) are modulated with respect to the reference grid to encode data. The method selects at least two marks (1501, 1502) from the arrangement of computer readable marks and determines a rotation centre with reference to the selected marks (1501, 1502). The method then determines rotated positions for the selected marks by rotating each of the selected marks by a predetermined angle about the rotation centre.

Abstract: A method of encoding information in a document using a plurality of marks (104), the information comprising first data and second data, the method comprising the steps of encoding the first data using a first plurality of arrays of modulated marks disposed in a corresponding first plurality of tiles (610) spaced apart from each other at a first repeat rate (660); and encoding the second data using a second plurality of arrays of modulated marks disposed in a corresponding second plurality of tiles (680) spaced apart from each other at a second repeat rate (670); wherein: the second repeat rate is different to the first repeat rate; and the second plurality of tiles are embedded within the first plurality of tiles.

Abstract: Disclosed is a method of decoding a first barcode and a second barcode, different from the first barcode. The barcodes have typically been printed on a page and are derived from image scanning. The first barcode comprises a plurality of marks modulated about a first grid to redundantly encode data and the second barcode comprising a plurality of marks modulated about a second grid. The method estimates (810) the first grid from a bitmap representation (805) of at least a portion of the page, using modulated marks contained therein. The method determines (820) a first barcode region from the first grid, the first barcode region being a portion of the first barcode, followed by estimating a second grid from the bitmap representation, using modulated marks contained therein.

Abstract: The present invention relates to a method for predicting the tendency of a protein to form amphiphilic .alpha. or .beta. structure, wherein a series of values for U are calculated for spans of x residues, where the equationU.sub..alpha.x =H.sub.x +.mu..sub..alpha.x -<pt>is used to predict regions of amphiphilic .alpha. structure and the equationU.sub..beta.x =H.sub.x +.mu..sub..beta.x <pt>is used to predict regions of amphiphilic .beta. structure, and where H.sub.x is the average hydrophobicity for a span of x residues, .mu..sub.x is the hydrophobic moment, and <pt> is the position dependent turn propensity. When the values for U.sub..alpha.x and U.sub..beta.x are represented graphically, peaks are predicted to represent regions of .alpha. and .beta. structure, respectively.