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There is a gap in most of pattern recognition approaches between the low-level processing and the highlevel analysis. A recent approach 1 fills this gap for the problem of structural identification. It supports execution of the low-level image processing routines under full control of an identification task. This paper extends the approach to cover as possible omissions of some object details during detection, as well as partial occlusions.

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