Design of a Spatial Filtering Neural Network for Extracting Map Symbols


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 2, No. 2, pp. 199-208, Mar. 1995
10.3745/KIPSTE.1995.2.2.199,   PDF Download:

Abstract

In this paper, a neural network architecture which can extract map symbols by being partially based on the results of physiological and neuropsychological studies on pattern recognition is proposed. This network is composed of multi-layers and synaptic activities of combining layers are implemented by spatial filters which approximate receptive fields of optic nerve cells. In pattern recognition which is followed by color classification for extracting of map symbols from input image, this network is searching for candidate-points in lower layers(layer 2,3) by using local features such as lines and end-points and then processing symbols recognition on those points in upper layer(layer 4) by using global features.


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Cite this article
[IEEE Style]
K. I. Tae, K. W. Hyun, K. K. Ha, K. Y. Il, L. G. Ki, "Design of a Spatial Filtering Neural Network for Extracting Map Symbols," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 2, no. 2, pp. 199-208, 1995. DOI: 10.3745/KIPSTE.1995.2.2.199.

[ACM Style]
Kang Ick Tae, Kim Wook Hyun, Kim Kyung Ha, Kim Young Il, and Lee Gun Ki. 1995. Design of a Spatial Filtering Neural Network for Extracting Map Symbols. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 2, 2, (1995), 199-208. DOI: 10.3745/KIPSTE.1995.2.2.199.