Enhancement of the Correctness of Marker Detection and Marker Recognition based on Artificial Neural Network

Kang Sun-Kyung; 김영운; 소인미; Jung， Sung-Tae

In this paper, we present a method for the enhancement of marker detection correctness and marker recognition speed by using artificial neural network. Contours of objects are extracted from the input image. They are approximated to a list of line segments. Quadrangles are found with the geometrical features of the approximated line segments. They are normalized into exact squares by using the warping technique and scale transformation. Feature vectors are extracted from the square image by using principal component analysis. Artificial neural network is used to checks if the square image is a marker image or a non-marker image. After that, the type of marker is recognized by using an artificial neural network. Experimental results show that the proposed method enhances the correctness of the marker detection and recognition.

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REFERENCES (15)
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* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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