Presentation | 2008-03-13 Image Recognition System with Parallel-Hierarchical Neural Network Based on Visual Information Processing Teruo TERAJIMA, Masafumi HAGIWARA, |
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Abstract(in English) | In this paper, we propose a new image recognition system based on visual information processing. The proposed system is composed of the network based on Neocognitron that mimics human vision system. The proposed system considers color information employing the framework of Neocognitron, and recognition that considers both color information and shape information is carried out. In addition, the proposed system can automatically decide the number of cell planes that heavily affects the recognition performance. It is confirmed that the proposed system has excellent performance from experiments, for example, the recognition rate for unlearned images is increased by about 15% compared with the conventional Neocognitron. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Image recognition / Neural network / Neocognitron |
Paper # | NC2007-153 |
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Committee | NC |
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Conference Date | 2008/3/5(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Image Recognition System with Parallel-Hierarchical Neural Network Based on Visual Information Processing |
Sub Title (in English) | |
Keyword(1) | Image recognition |
Keyword(2) | Neural network |
Keyword(3) | Neocognitron |
1st Author's Name | Teruo TERAJIMA |
1st Author's Affiliation | Faculty of Science and Technology, Keio University() |
2nd Author's Name | Masafumi HAGIWARA |
2nd Author's Affiliation | Faculty of Science and Technology, Keio University |
Date | 2008-03-13 |
Paper # | NC2007-153 |
Volume (vol) | vol.107 |
Number (no) | 542 |
Page | pp.pp.- |
#Pages | 6 |
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