metainformation extraction from scanned documents - repost

there are 5 fixed formats of a letter( say template1 to template5). all of the have about 5-6 fields like sender name, receiver name , address , date , tele no etc. Depending upon the type of template, the positioning of the fields differ. requirement is to extract these fields and put them in a database in order to make a searchable database of such scanned letters.

1> input is a scanned image of a letter(may more than a single page) but definitely belonging to 1 out of the 5 layouts.

2>problem is disintegrated into identifying the template first, using neural/neuro-fuzzy network and then applying template specific rules to extract information(commercially available ocr may be used)

3> end result should allow user to enter a query based on date of letter or name or other fields and should pop out the related letters in a ranked manner.

Habilidades: Matlab and Mathematica

Veja mais: metainformation, scanned documents, neuro matlab, matlab problem, matlab network, database extraction, query pop, page extraction, ocr extract, date extraction, sender receiver, user searchable database, scanned image, fuzzy using matlab, requirement documents, ocr template, pop network, matlab based, sender name, artificial neural network fuzzy logic, matlab neural, fuzzy neural network, matlab neural network, fuzzy neural network matlab, fuzzy rules cart pole problem

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( 0 comentários ) India

ID do Projeto: #5113505

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