Development of real environment character string recognition method that can handle curved character strings
| Project/Area Number |
15K00258
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Perceptual information processing
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| Research Institution | Sasebo National College of Technology |
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Principal Investigator |
SHIKU OSAMU 佐世保工業高等専門学校, 電子制御工学科, 教授 (00235516)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 文字認識 / 文字正規化 / カメラ入力 / 傾斜文字 / 傾斜補正 / 単文字 / 文字列 / 傾き補正 |
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| Outline of Final Research Achievements |
We developed a character normalization method for camera based character recognition. In this method, the character normalization process is executed for each character candidates extracted from images. The details are as follows. (1) a part of the character string is taken out as a substring. (2) rotation and shear normalization are applied for the substring. (3) characters are extracted from the normalized substring. (4) shear and size normalization are applied for the extracted characters. We tested the proposed method for many images. The results show that the proposed method is more accuracy than a conventional method.
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Report
(4 results)
Research Products
(10 results)
