文献の詳細
| 言語 | 英語 |
|---|---|
| 著者 | Shin'ichiro Omachi, Fang Sun, Hirotomo Aso |
| 論文名 | A Noise-Adaptive Discriminant Function and Its Application to Blurred Machine-Printed Kanji Recognition |
| 論文誌名 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| Vol. | 22 |
| No. | 3 |
| ページ | pp.314-319 |
| 年月 | 2000年3月 |
| 要約 | Accurate recognition of blurred images is a practical but hitherto mostly overlooked problem. In this paper, we quantify the level of noise in blurred images and propose a new modification of discriminant functions that adaps to the level of noise. Experimental results indicate that the proposed method actually enhances the existing statistical methods, and has impressive ability to recognize blurred image patterns. |
@Article {Omachi2000,
author = {Shin'ichiro Omachi and Fang Sun and Hirotomo Aso},
title = {A Noise-Adaptive Discriminant Function and Its Application to Blurred Machine-Printed Kanji Recognition},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {2000},
month = mar,
volume = {22},
number = {3},
pages = {314--319}
}