New Attributes Extraction System for Arabic Autograph as Genuine and Forged through a Classification Techniques
The authentication of writers, handwritten autograph is widely realized throughout the world, the thorough check of the autograph is important before going to the outcome about the signer. The Arabic autograph has unique characteristics; it includes lines, and overlapping. It will be more difficult...
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| Autores principales: | , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2021
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| Acceso en línea: | https://www.intechopen.com/chapters/76088 |
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| _version_ | 1879164702458642432 |
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| author | Ebrahim, Anwar Yahya Kolivand, Hoshang |
| author_browse | Ebrahim, Anwar Yahya Kolivand, Hoshang |
| author_facet | Ebrahim, Anwar Yahya Kolivand, Hoshang |
| author_sort | Ebrahim, Anwar Yahya |
| building | IntechOpen |
| collection | Acceso abierto |
| description | The authentication of writers, handwritten autograph is widely realized throughout the world, the thorough check of the autograph is important before going to the outcome about the signer. The Arabic autograph has unique characteristics; it includes lines, and overlapping. It will be more difficult to realize higher achievement accuracy. This project attention the above difficulty by achieved selected best characteristics of Arabic autograph authentication, characterized by the number of attributes representing for each autograph. Where the objective is to differentiate if an obtain autograph is genuine, or a forgery. The planned method is based on Discrete Cosine Transform (DCT) to extract feature, then Spars Principal Component Analysis (SPCA) to selection significant attributes for Arabic autograph handwritten recognition to aid the authentication step. Finally, decision tree classifier was achieved for signature authentication. The suggested method DCT with SPCA achieves good outcomes for Arabic autograph dataset when we have verified on various techniques. |
| doi_str_mv | 10.5772/intechopen.96561 |
| first_indexed | 2026-10-15T21:38:32Z |
| format | Book Chapter |
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<dc:title>New Attributes Extraction System for Arabic Autograph as Genuine and Forged through a Classification Techniques</dc:title>
<dc:creator>Anwar Yahya Ebrahim</dc:creator>
<dc:creator>Hoshang Kolivand</dc:creator>
<dc:subject>Physical Sciences, Engineering and Technology</dc:subject>
<dc:description>The authentication of writers, handwritten autograph is widely realized throughout the world, the thorough check of the autograph is important before going to the outcome about the signer. The Arabic autograph has unique characteristics; it includes lines, and overlapping. It will be more difficult to realize higher achievement accuracy. This project attention the above difficulty by achieved selected best characteristics of Arabic autograph authentication, characterized by the number of attributes representing for each autograph. Where the objective is to differentiate if an obtain autograph is genuine, or a forgery. The planned method is based on Discrete Cosine Transform (DCT) to extract feature, then Spars Principal Component Analysis (SPCA) to selection significant attributes for Arabic autograph handwritten recognition to aid the authentication step. Finally, decision tree classifier was achieved for signature authentication. The suggested method DCT with SPCA achieves good outcomes for Arabic autograph dataset when we have verified on various techniques.</dc:description>
<dc:publisher>IntechOpen</dc:publisher>
<dc:date>2021-04-09</dc:date>
<dc:type>Chapter, Part Of Book</dc:type>
<dc:identifier>https://www.intechopen.com/chapters/76088</dc:identifier>
<dc:identifier>doi:10.5772/intechopen.96561</dc:identifier>
<dc:language>en</dc:language>
<dc:relation>ISBN:978-1-78985-332-2</dc:relation>
<dc:rights>https://creativecommons.org/licenses/by/3.0/</dc:rights>
<dc:source>https://www.intechopen.com/books/8734 ; Applications of Pattern Recognition</dc:source>
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| id | intech-76088 |
| institution | IntechOpen |
| isbn | 978-1-78985-332-2 |
| language | English |
| last_indexed | 2026-10-15T21:38:32Z |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | oai_dc |
| spelling | intech-760882021-04-09 New Attributes Extraction System for Arabic Autograph as Genuine and Forged through a Classification Techniques Anwar Yahya Ebrahim Hoshang Kolivand Physical Sciences, Engineering and Technology The authentication of writers, handwritten autograph is widely realized throughout the world, the thorough check of the autograph is important before going to the outcome about the signer. The Arabic autograph has unique characteristics; it includes lines, and overlapping. It will be more difficult to realize higher achievement accuracy. This project attention the above difficulty by achieved selected best characteristics of Arabic autograph authentication, characterized by the number of attributes representing for each autograph. Where the objective is to differentiate if an obtain autograph is genuine, or a forgery. The planned method is based on Discrete Cosine Transform (DCT) to extract feature, then Spars Principal Component Analysis (SPCA) to selection significant attributes for Arabic autograph handwritten recognition to aid the authentication step. Finally, decision tree classifier was achieved for signature authentication. The suggested method DCT with SPCA achieves good outcomes for Arabic autograph dataset when we have verified on various techniques. IntechOpen 2021-04-09 Chapter, Part Of Book https://www.intechopen.com/chapters/76088 doi:10.5772/intechopen.96561 en ISBN:978-1-78985-332-2 https://creativecommons.org/licenses/by/3.0/ https://www.intechopen.com/books/8734 ; Applications of Pattern Recognition |
| spellingShingle | Physical Sciences, Engineering and Technology Ebrahim, Anwar Yahya Kolivand, Hoshang New Attributes Extraction System for Arabic Autograph as Genuine and Forged through a Classification Techniques |
| title | New Attributes Extraction System for Arabic Autograph as Genuine and Forged through a Classification Techniques |
| title_full | New Attributes Extraction System for Arabic Autograph as Genuine and Forged through a Classification Techniques |
| title_fullStr | New Attributes Extraction System for Arabic Autograph as Genuine and Forged through a Classification Techniques |
| title_full_unstemmed | New Attributes Extraction System for Arabic Autograph as Genuine and Forged through a Classification Techniques |
| title_short | New Attributes Extraction System for Arabic Autograph as Genuine and Forged through a Classification Techniques |
| title_sort | new attributes extraction system for arabic autograph as genuine and forged through a classification techniques |
| topic | Physical Sciences, Engineering and Technology |
| url | https://www.intechopen.com/chapters/76088 |
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