Abstract: A method, system and/or a digital camera provide a geometrical transformation of deformed images of documents comprising text, by text line tracking, resulting in an image comprising parallel text lines. The transformed image is provided as an input to an OCR program either running in a computer system or in a processing element comprised in said digital camera.

Abstract: A method, system and/or a digital camera provide a geometrical transformation of deformed images of documents comprising text, by text line tracking, resulting in an image comprising parallel text lines. The transformed image is provided as an input to an OCR program either running in a computer system or in a processing element comprised in said digital camera.

Abstract: The present invention provides a method, system and/or a digital camera providing a geometrical transformation of deformed images of documents comprising text, by text line tracking, resulting in an image comprising parallel text lines. The transformed image is provided as an input to an OCR program either running in a computer system or in a processing element comprised in said digital camera.

Abstract: The present invention provides a method for an Optical Character Recognition (OCR) system providing recognition of characters that are partly hidden by crossing outs due to for example an imprint of a stamp, handwritten signatures, etc. The method establishes a set of template images of certainly recognized characters from the image of the text being processed by the OCR system, wherein the effect of the crossed out section is modelled into the template images before comparing these images with the image of a visually impaired crossed out character. The modelled template image having the highest similarity with the visually impaired crossed out character is the correct identification for the visually impaired character instance.

Abstract: The present invention is related to a method of processing of output data from an Optical Character Recognition (OCR) system, wherein the output data comprises images of double printed characters. The method identifies the respective members of a suspected double printed character image by first providing a set of single character template images from images of characters identified in the text being processed by the OCR system, then combining the single character templates providing candidate models for the suspected double printed character image. Correlation between each respective candidate model and the suspected double printed character image provides an indication of which pair of modelled single template character images that most probable are the correct identification of the respective character images in the double printed character image.

Abstract: The present invention provides a method and system for confirming uncertainly recognized words as reported by an Optical Character Recognition process by using spelling alternatives as search arguments for an Internet search engine. The measured number of hits for each spelling alternative is used to provide a confirmation measure for the most probable spelling alternative. Whenever the confirmation measure is inconclusive, a plurality of search strategies are used to reach a measured result comprising zero hits except for one spelling alternative that is used as the correct alternative.

Abstract: Converting images to binary image representations is part of an Optical Character Recognition program in a computer system. The method and system is using a relative threshold level to convert the image to its binary image representation.

Abstract: The present invention is related to a method for resolving contradicting output data from an Optical Character Recognition (OCR) system providing a conversion of pixelized documents into computer coded text as the output data, wherein the OCR output data comprises at least a first and second character listed as being likely candidates for an exemplar of a same sampled character instance from the pixelized document, by providing steps that identify locations of differences in graphical appearance between the candidate characters, and then using the location information to identify a corresponding locations in the sampled character instance. Based on correlation technique, this location information is used to select the correct candidate character as the identification of the sampled character instance.

Abstract: A method and system for recognizing text in computer images comprising distorted text provides an adaptive iterative process wherein recognition rules are adapted, added or omitted based on the present state of the recognition process. When the first pass through the recognition and adaptation is completed, the remaining unrecognized words (15) are passed through the recognition system 1 using the modified set of recognition rules stored in (18) and the process is repeated. In most cases the recognition system 1 will identify further reliable recognized words, which iteratively can be used to improve the recognition rules until the true text comprised in image (10) is recognized throughout the whole text. The steps of the method according to the present invention are thus repeated until convergence.

Abstract: Converting images to binary image representations is part of an Optical Character Recognition program in a computer system. The method and system according to present invention is using a relative threshold level to convert the image to its binary image representation.

Abstract: The present invention provides a method and system for confirming uncertainly recognized words as reported by an Optical Character Recognition process by using spelling alternatives as search arguments for an Internet search engine. The measured number of hits for each spelling alternative is used to provide a confirmation measure for the most probable spelling alternative. Whenever the confirmation measure is inconclusive, a plurality of search strategies are used to reach a measured result comprising zero hits except for one spelling alternative that is used as the correct alternative.

Abstract: The present invention provides a method, system and/or a digital camera providing a geometrical transformation of deformed images of documents comprising text, by text line tracking, resulting in an image comprising parallel text lines. The transformed image is provided as an input to an OCR program either running in a computer system or in a processing element comprised in said digital camera.

Abstract: The present invention is related to a method and system providing a pattern-classifier encoded dictionary for use in language processing systems implemented in computer systems. The pattern encoded dictionary according to the present invention may be utilized in Optical Character Recognition systems or (OCR) or Automatic Speech Recognition systems (ASR) to retrieve reliably identified words used in an adaptive manner or as a tool to configure said OCR or ASR system.

Abstract: A method and system for recognizing text in computer images comprising distorted text provides an adaptive iterative process wherein recognition rules are adapted, added or omitted based on the present state of the recognition process. When the first pass through the recognition and adaptation is completed, the remaining unrecognized words (15) are passed through the recognition system 1 using the modified set of recognition rules stored in (18) and the process is repeated. In most cases the recognition system 1 will identify further reliable recognized words, which iteratively can be used to improve the recognition rules until the true text comprised in image (10) is recognized throughout the whole text. The steps of the method according to the present invention are thus repeated until convergence.