Development of algorithm for segmentation of handwritten text using masks
The work highlights the problem of extracting handwritten text on the image for further recognition. Describes common methods of segmentation, allowing to solve this problem: method of color image analysis the binary image segmentation method of fixing level, as well as, a method for the separat...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
2020-09-01
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| Series: | Омский научный вестник |
| Subjects: | |
| Online Access: | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2020/4%20(172)/47-52%20%D0%9A%D0%BE%D0%B1%D0%B5%D0%BD%D0%BA%D0%BE%20%D0%92.%20%D0%AE.,%20%D0%A4%D1%80%D0%BE%D0%BB%D0%BE%D0%B2%20%D0%A1.%20%D0%9E.,%20%D0%A2%D0%B0%D0%BB%D0%B0%D0%BB%D0%B0%D0%B5%D0%B2%20%D0%92.%20%D0%98..pdf |
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| Summary: | The work highlights the problem of extracting handwritten text
on the image for further recognition. Describes common methods
of segmentation, allowing to solve this problem: method of color
image analysis the binary image segmentation method of fixing
level, as well as, a method for the separation and analysis of
circuits. The proposed algorithm for text segmentation based
on the use of the mask of the original image to simplify the
segmentation of text in images with a non-monotonic background.
Also the comparative analysis methods is done. |
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| ISSN: | 1813-8225 2541-7541 |