| 한글제목(Korean Title) |
Parallel Search Algorithm for Application of Invariant Moments to Traffic Sign Symbol Recognition |
| 영문제목(English Title) |
Parallel Search Algorithm for Application of Invariant Moments to Traffic Sign Symbol Recognition |
| 저자(Author) |
So Young Yim
Sangsin Na
Tae Young Choi
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| 원문수록처(Citation) |
VOL 03 NO. 04 PP. 0415 ~ 0421 (1998. 08) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
The seven invariant moments as feature descriptors satisfy the well-known primary conditions of invariance with respect to translation, rotation, and scale variation. However they are very sensitive to noise and vary in broad range of magnitude so that the conventional minimum distance classifier does not well operate on pattern recognition with seven invariant moments. From this point of view, in this paper, a new decision rule for seven invariant moments, called a parallel search algorithm, is proposed and applied to traffic sign symbol recognition. The simulation results on traffic sign symbol recognition show that the parallel search algorithm for seven invariant moments performs well in the average ratio criterion compared with the conventional signatures and another diametric signatures derived in this paper.
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| 키워드(Keyword) |
Artificial Intelligence
Parallel Search Algorithm
Invariant Moments
Traffic Sign
Symbol Recognition
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| 파일첨부 |
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