Patent ID: 7286687

Claim:
A method of selectively generating learning and/or test samples for characters, words, addresses on mail items and images of entire surfaces of mail items including the addresses on the mail items and pictorial object image elements for optimizing automatic readers of addresses on mail items, comprising: providing a script pool comprising a plurality of font libraries containing a plurality of fonts in different formats and various languages; providing an object image pool comprising images of elementary pictorial objects not acquired from said font libraries; providing an image processing algorithm pool comprising variants-producing algorithms; selecting an adaptation task to determine a kind of learning and/or test samples to be generated, said kind selected from characters, words, addresses on mail items and elementary pictorial images of entire surfaces of mail items; if the adaptation task is to generate samples for characters, based on said script pool, defining character reference information comprising a selection of a scope of characters, a selection of an alphabet, and a selection of a scope of fonts; if the adaptation task is to generate samples for words, based on said script pool, defining word reference information comprising a selection of a language, a selection of a scope of words, and a selection of a scope of fonts; if the adaptation task is to generate samples for addresses on mail items and images of entire surfaces of mail items, based on said script and object image pools, defining address reference information comprising a definition of a scope of address strings, a definition of a scope of address layouts, a selection of a language, a selection of a scope of fonts and a selection of elementary pictorial objects; wherein said character reference information, word reference information and address reference information each include a complete description of meaning and required layout of characters, words, addresses and pictorial images on items of mail; depending on the adaptation task generaling images of sample elements associated with the respective reference information so that for each generated image of a sample element a true meaning as defined by the respective reference information is available; storing the generated images, assigned to the reference information, in pixel representation for the sample elements; varying the images of the sample elements by means of said image processing algorithms for generating at least one predetermined statistical variation; and storing the generated variations, assigned to the reference information, in pixel representation for the sample elements.