Journal of the Korean Institute of Telematics and Electronics A (전자공학회논문지A)
- Volume 31A Issue 7
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- Pages.55-62
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- 1994
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- 1016-135X(pISSN)
Optical Implementation of Improved IPA Model Using Hierarchical Recognition Algorithm
계층적 인식 알고리즘을 이용한 개선된 패턴상호연상모델의 광학적 구현
Abstract
Interpattern association (IPA) model which the interconnection weight matrix(IWM) is constructed by the association between patterns is effective in similar pattern recognitions. But, if the number of reference patterns is increased, the ability of recognition is decreased. Using a hierarchical recognition algorithm which adopts the tree search strategy, we classified reference patterns into sub-groups by similarity. In IPA model, if input includes random noise we make it converge to reference pattern by means of input includes random noise we make it converge to reference pattern by means of increasing the number of pixels of prohibited state in IWM. In relation to reference patterns the pixel of prohibited state made partially prohibited state of no connected state using which is not included common and feature regions by each reference patterns.
Keywords