Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2002.06c
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- Pages.87-90
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- 2002
Detection of False Laser Marks Using Neural Network
신경망을 이용한 레이저마크 오류 검출기법
Abstract
This paper has been studied a new approach using neural network to detect false laser marks. In the proposed approach, input images are segmented into R, G and B colors and implements mask areas respectively. And then average and variation values of the each mask area are extracted for the learning process to minimize input nodes. Using this technique, the new input data is obtained and implemented to the back-propagation algorithm using multi layer perception. This paper reduces the computational complexity necessary and shows better effectiveness to inspect false laser marks.
Keywords