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http://dx.doi.org/10.5302/J.ICROS.2010.16.9.913

Pattern Partitioning and Decision Method in the Semiconductor Chip Marking Inspection  

Zhang, Yuting (Hoseo University)
Lee, Jung-Seob (Hoseo University)
Joo, Hyo-Nam (Hoseo University)
Kim, Joon-Seek (Hoseo University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.16, no.9, 2010 , pp. 913-917 More about this Journal
Abstract
To inspect the defects of printed markings on the surface of IC package, the OCV (Optical Character Verification) method based on NCC (Normalized Correlation Coefficient) pattern matching is widely used. In order to detect the micro pattern defects appearing on the small portion of the markings, a Partitioned NCC pattern matching method was proposed to overcome the limitation of the NCC pattern matching. In this method, the reference pattern is first partitioned into several blocks and the NCC values are computed and are combined in these small partitioned blocks, rather than just using the NCC value for the whole reference pattern. In this paper, we proposed a method to decide the proper number of partition blocks and a method to inspect and combine the NCC values of each partitioned block to identify the defective markings.
Keywords
normalized correlation coefficient; marking; pattern matching; inspection; partition, decision rule; OCV;
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