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Title |
An End-to-End Sequence Learning Approach for Text Extraction and Recognition from Scene Image |
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Author |
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| Citation |
Vol. 22 No. 7 pp. 220-228 |
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Keywords |
MSER ? Maximally Stable Extremal Region, OCR ? Optical Character Recognition, CC ? Connected Components, SWV- Stroke Width Variation. |
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Title |
An End-to-End Sequence Learning Approach for Text Extraction and Recognition from Scene Image |
|
Author |
|
| Citation |
Vol. 22 No. 7 pp. 220-228 |
|
Keywords |
MSER ? Maximally Stable Extremal Region, OCR ? Optical Character Recognition, CC ? Connected Components, SWV- Stroke Width Variation. |
|
Title |
An End-to-End Sequence Learning Approach for Text Extraction and Recognition from Scene Image |
|
Author |
|
| Citation |
Vol. 22 No. 7 pp. 220-228 |
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Keywords |
MSER ? Maximally Stable Extremal Region, OCR ? Optical Character Recognition, CC ? Connected Components, SWV- Stroke Width Variation. |
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Title |
Fiscal Policy Effectiveness Assessment Based on Cluster Analysis of Regions |
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Author |
Valentyna Martynenko, Yuliia Kovalenko, Iryna Chunytska, Oleksandr Paliukh, Maryna Skoryk, and Ivan Plets |
| Citation |
Vol. 22 No. 7 pp. 75-84 |
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Keywords |
. Indicator, Region, Ukraine, Model, Decentralization, Cluster, Component, Ward’s minimum variance method, k-means clustering algorithm. |
