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Bergen, Norway

I.R.I.S. | Date: 2013-12-23

A method for creating a binary mask image from an inputted digital image of a scanned document, including the steps of creating a binarized image by binarizing the inputted digital image, detecting first text regions representing light text on a dark background, and inverting the first text regions, such that the inverted first text regions are interpretable in the same way as dark text on a light background. A method for comparing in a binary image a first pixel blob with a second pixel blob to determine whether they represent matching symbols, including the steps of detecting a line in one blob not present in the other and/or determining if one of the blobs represents an italicized symbol where the other does not.

A system for tracking and processing handwritten pen strokes, including: a digital pen to allow a user to write pen strokes on a substrate; a receiver station for use in combination with said digital pen and adapted for tracking said pen strokes and storing digital pen strokes which include electronic data representing said tracked pen strokes, said receiver station including a wireless transceiver adapted for communicating with a mobile terminal over a wireless connection to transfer said digital pen strokes to said mobile terminal; and a software application executable on said mobile terminal and including software code fragments for receiving and processing said transferred digital pen strokes.

Pattern recognition process that includes, starting from an input pattern: normalization of the input pattern into a normalized pattern of predetermined size; generation of a reliable pattern from the normalized pattern by using at least one morphological operator; calculation of a distance between the reliable pattern and selected templates which are selected from a template library; classification of the reliable patterns into at least one of the classes of the selected templates by means of at least one non-parametric classification method, which uses the classes of the selected templates and the calculated distances as inputs and outputs identified classes along with confidence levels.

I.R.I.S. | Date: 2014-04-16

A method for identifying a pattern in an image. In a first step the image is normalized to a binary matrix. A binary vector is subsequently generated from the binary matrix. The binary vector is filtered with a sparse matrix to a feature vector using a matrix vector multiplication wherein the matrix vector multiplication determines the values of the feature vector by applying program steps which are the result of transforming the sparse matrix in program steps including conditions on the values of the binary vector. Lastly, from the feature vector, a density of probability for a predetermined list of models is generated to identify the pattern in the image,

I.R.I.S. | Date: 2012-08-16

Battery-powered portable scanner, comprising: a scanning unit for scanning documents and forming digital representations thereof; a processor, communicatively connected to the scanning unit and provided for controlling the scanning operation; at least a first embedded storage capabilities, each of which is communicatively connected to the processor and each of which comprises either an internal memory for internally storing the digital representations or a communication link to an external storage medium for externally storing the digital representations. The processor is provided for enabling autonomous operation without connection to a terminal. The processor may be provided with an embedded routing application which is provided for routing the digital representations to a predetermined selection among the embedded storage capabilities.

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