Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for classifying one or more document images based on its content by determining blocks layout of the document image; recognizing the document image to obtain digital content data representing text content or the potential graphical content of the image; calculating feature values of the document image for features based on the digital content data and the blocks layout; and classifying the document image as belonging to one of document classes based on the calculated feature values.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for classifying one or more document images based on its content by determining blocks layout of the document image; recognizing the document image to obtain digital content data representing text content or the potential graphical content of the image; calculating feature values of the document image for features based on the digital content data and the blocks layout; and classifying the document image as belonging to one of document classes based on the calculated feature values.

Abstract: Described herein are methods for determining a type and semi-unique features of electronic files. The methods generally include generating at least one document hypothesis corresponding to the type of the document. For each document hypothesis, the document type is verified. A document type hypothesis is selected. A document name is formed based on the selected document type hypothesis and one or more features of the document. Such steps generally include automatically or programmatically naming of electronic files. A unique or semi-unique name is given, one that reproduces some of the document's contents, attributes and/or characteristics. Each document is provided with a name that can be easily understood and that is related to the content of the document.