IEICE TRANSACTIONS on Fundamentals
Feature Extraction of Postage Stamps Using an Iterative Approach of CNN
Summary :
In this article, a new analogic CNN algorithm to extract features of postage stamps in gray-scale images Is introduced. The Gradient Controlled Diffusion method plays an important role in the approach. In our algorithm, it is used for smoothing and separating Arabic figures drawn with a color which is similar to the background color. We extract Arabic figures in postage stamps by combining Gradient Controlled Diffusion with nearest neighbor linear CNN template and logic operations. Applying the feature extraction algorithm to different test images it has been verified that it is also effective in complex segmentation problems
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E79-A No.10 pp.1741-1746
- Publication Date
- 1996/10/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Neural Networks
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Jun KISHIDA, Csaba REKECZKY, Yoshifumi NISHIO, Akio USHIDA, "Feature Extraction of Postage Stamps Using an Iterative Approach of CNN" in IEICE TRANSACTIONS on Fundamentals,
vol. E79-A, no. 10, pp. 1741-1746, October 1996, doi: .
Abstract: In this article, a new analogic CNN algorithm to extract features of postage stamps in gray-scale images Is introduced. The Gradient Controlled Diffusion method plays an important role in the approach. In our algorithm, it is used for smoothing and separating Arabic figures drawn with a color which is similar to the background color. We extract Arabic figures in postage stamps by combining Gradient Controlled Diffusion with nearest neighbor linear CNN template and logic operations. Applying the feature extraction algorithm to different test images it has been verified that it is also effective in complex segmentation problems
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e79-a_10_1741/_p
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@ARTICLE{e79-a_10_1741,
author={Jun KISHIDA, Csaba REKECZKY, Yoshifumi NISHIO, Akio USHIDA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Feature Extraction of Postage Stamps Using an Iterative Approach of CNN},
year={1996},
volume={E79-A},
number={10},
pages={1741-1746},
abstract={In this article, a new analogic CNN algorithm to extract features of postage stamps in gray-scale images Is introduced. The Gradient Controlled Diffusion method plays an important role in the approach. In our algorithm, it is used for smoothing and separating Arabic figures drawn with a color which is similar to the background color. We extract Arabic figures in postage stamps by combining Gradient Controlled Diffusion with nearest neighbor linear CNN template and logic operations. Applying the feature extraction algorithm to different test images it has been verified that it is also effective in complex segmentation problems},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - Feature Extraction of Postage Stamps Using an Iterative Approach of CNN
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1741
EP - 1746
AU - Jun KISHIDA
AU - Csaba REKECZKY
AU - Yoshifumi NISHIO
AU - Akio USHIDA
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E79-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 1996
AB - In this article, a new analogic CNN algorithm to extract features of postage stamps in gray-scale images Is introduced. The Gradient Controlled Diffusion method plays an important role in the approach. In our algorithm, it is used for smoothing and separating Arabic figures drawn with a color which is similar to the background color. We extract Arabic figures in postage stamps by combining Gradient Controlled Diffusion with nearest neighbor linear CNN template and logic operations. Applying the feature extraction algorithm to different test images it has been verified that it is also effective in complex segmentation problems
ER -
English
