A Statistical Method for an Automatic Detection of Form Types
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
FormPad: a camera-assisted digital notepad
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
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In this paper, we describe a flexible and efficient system for processing forms of a known class. The model is based on attributed relational graphs and the system performs form registration and location of information fields using algorithms based on the hypothesize-and-verify paradigm. A special emphasis has been placed at the low level, where an autoassociator-based connectionist model has exhibited successful results in finding the instruction fields in very noisy forms.