Online Sumarians Cuneiform Detection Based on Symbol Structural Vector Algorithm
The cuneiform images need many processes in order to know their contents and by using image enhancement to clarify the objects (symbols) founded in the image. The Vector used for classifying the symbol called symbol structural vector (SSV) it which is build from the information wedges in the symbol. The experimental tests show insome numbersand various relevancy including various drawings in online method. The results are high accuracy in this research, and methods and algorithms programmed using a visual basic 6.0. In this research more than one method was applied to extract information from the digital images of cuneiform tablets, in order to identify most of signs of Sumerian cuneiform..
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2019 |
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| Erschienen: |
2019 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:23 |
|---|---|
| Enthalten in: |
مجلة كلية التربية للبنات - 23(2019), 2 |
| Sprache: |
Arabisch ; Englisch |
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| Beteiligte Personen: |
Kawther K. Ahmed [VerfasserIn] |
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| Links: |
doaj.org [kostenfrei] |
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| Themen: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
DOAJ050250159 |
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| 520 | |a The cuneiform images need many processes in order to know their contents and by using image enhancement to clarify the objects (symbols) founded in the image. The Vector used for classifying the symbol called symbol structural vector (SSV) it which is build from the information wedges in the symbol. The experimental tests show insome numbersand various relevancy including various drawings in online method. The results are high accuracy in this research, and methods and algorithms programmed using a visual basic 6.0. In this research more than one method was applied to extract information from the digital images of cuneiform tablets, in order to identify most of signs of Sumerian cuneiform. | ||
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