시각정보 처리 메커니즘을 이용한 형태정보인식 신경회로망의 구성

Design of a pattern recognizing neural network using information-processing mechanism in optic nerve fields

A new neural network architecture for the recognition of patterns from images is proposed, which is partially based on the results of physiological studies. The proposed network is composed of multi-layers and the nerve cells in each layer are connected by spatial filters which approximate receptive fields in optic nerve fields. In the proposed method, patterns recognition for complicated images is carried out using global features as well as local features such as lines and end-points. A new generating method of matched filters representing global features is proposed in this network.