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- W2017006525 abstract "Abstract The purpose of this paper is to develop an automatic IC chip inspection and recognition system. This vision system can find the pins in an IC chip and then determine its major axis precisely. Based on the rules developed in this study, the system can successfully detect the label blocks printed on the IC surface. An algorithm for dividing merged characters within a block has also been established. The features of the characters are constructed from stroke relationship and their pattern profile. A fuzzy‐neural network is used to classify the symbols and determine the orientation of IC chips. Finally, the system can combine them into meaningful data and recognize the symbols." @default.
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- W2017006525 modified "2023-09-24" @default.
- W2017006525 title "Recognition of IC chips via machine vision" @default.
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- W2017006525 doi "https://doi.org/10.1080/02533839.1995.9677703" @default.
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