Presentation | 1995/11/17 Feature Extraction of Postage Stamps Using Gradient Controlled Diffusion on CNNs Jun KISHIDA, Csaba REKECZKY, Yoshifumi NISHIO, Akio USHIDA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper introduces a new algorithm that is capable of extracting features using cellular neural networks. The algorithm extracts information that is hard to be recognized, for example, Arabic figures drawn with a hard-to-distinguish color on the background of postage stamps. We report on some simulation results using the feature extracting algorithm. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Cellular Neural Networks / Image Processing / Template / Feuture Extraction |
Paper # | NLP95-74 |
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Conference Information | |
Committee | NLP |
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Conference Date | 1995/11/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Feature Extraction of Postage Stamps Using Gradient Controlled Diffusion on CNNs |
Sub Title (in English) | |
Keyword(1) | Cellular Neural Networks |
Keyword(2) | Image Processing |
Keyword(3) | Template |
Keyword(4) | Feuture Extraction |
1st Author's Name | Jun KISHIDA |
1st Author's Affiliation | Dept. of Electrical and Electronic Engineering, Tokushima University() |
2nd Author's Name | Csaba REKECZKY |
2nd Author's Affiliation | Computer and Automation Institute, Hungarian Academy of Sciences, |
3rd Author's Name | Yoshifumi NISHIO |
3rd Author's Affiliation | Dept. of Electrical and Electronic Engineering, Tokushima University |
4th Author's Name | Akio USHIDA |
4th Author's Affiliation | Dept. of Electrical and Electronic Engineering, Tokushima University |
Date | 1995/11/17 |
Paper # | NLP95-74 |
Volume (vol) | vol.95 |
Number (no) | 368 |
Page | pp.pp.- |
#Pages | 8 |
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