Presentation | 1999/10/22 Generation of variety of characters by changing the via-point of the handwriting based on genetic algorithm Kei Ohkawa, Yasuhiro Wada, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In pattern recognition, a variety of characters are needed for learning like in neural network learning. As one means of collecting a variety of characters, it may be used the artificial deformed characters. We show that a computational handwriting model can be applied to the deformation of characters. The handwriting model is based on optimal principles and the representations of the model are sets of via-points extracted from actual handwritten characters. Therefore, if the information of a via-point is changed, a deformed character can be generated using the handwriting model. In this report, we propose a method of changing via-point information by a genetic algorithm. We show that the proposed method can produce various character shapes, and the characters deformed by the model can be used as a set of learning patterns. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | handwriting model / via-point / deformation character / genetic algorithm |
Paper # | NC99-50 |
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Committee | NC |
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Conference Date | 1999/10/22(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 | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Generation of variety of characters by changing the via-point of the handwriting based on genetic algorithm |
Sub Title (in English) | |
Keyword(1) | handwriting model |
Keyword(2) | via-point |
Keyword(3) | deformation character |
Keyword(4) | genetic algorithm |
1st Author's Name | Kei Ohkawa |
1st Author's Affiliation | Nagaoka University of Technology() |
2nd Author's Name | Yasuhiro Wada |
2nd Author's Affiliation | Nagaoka University of Technology |
Date | 1999/10/22 |
Paper # | NC99-50 |
Volume (vol) | vol.99 |
Number (no) | 383 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |