Abstract
Pattern recognition algorithms have recently been pursued for automatic analysis of delayered IC images, i.e. the detection of circuit components. Wide experimentation on the existing training-based approaches are hampered by heavy data labeling, expensive model training, or long processing time. In this paper, we propose a global template projection and matching (GTPM) method that requires no training and a minimal amount of data labeling for circuit component detection. Our proposed GTPM method achieves a higher or comparable accuracy as the reported approaches while being more computationally efficient.
Original language | English |
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Title of host publication | 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728103976 |
DOIs | |
Publication status | Published - 2019 |
Event | 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Sapporo, Japan Duration: 2019 May 26 → 2019 May 29 |
Publication series
Name | Proceedings - IEEE International Symposium on Circuits and Systems |
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Volume | 2019-May |
ISSN (Print) | 0271-4310 |
Conference
Conference | 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 |
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Country/Territory | Japan |
City | Sapporo |
Period | 19/5/26 → 19/5/29 |
Bibliographical note
Publisher Copyright:© 2019 IEEE
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering