A CNN based architecture for forgery detection in administrative documents (English)
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- New search for: Maamouli, Khadidja
- New search for: Benhamza, Hiba
- New search for: Djeffal, Abdelhamid
- New search for: Cheddad, Abbas
- New search for: Maamouli, Khadidja
- New search for: Benhamza, Hiba
- New search for: Djeffal, Abdelhamid
- New search for: Cheddad, Abbas
- Conference paper / Electronic Resource
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Title:A CNN based architecture for forgery detection in administrative documents
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Contributors:Maamouli, Khadidja ( author ) / Benhamza, Hiba ( author ) / Djeffal, Abdelhamid ( author ) / Cheddad, Abbas ( author )
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Publication date:2022-01-01
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DOI:
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Type of media:Conference paper
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Type of material:Electronic Resource
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Language:English
- New search for: 006
- Further information on Dewey Decimal Classification
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Keywords:Deep learning , Forgery detection , Image processing , Convolutional neural networks , Learning systems , Network architecture , CNN-based architecture , Convolutional neural network , Digital Documents , Economic transactions , Forgery detections , Images processing , Machine-learning , Neural network architecture , Computer Sciences , Datavetenskap (datalogi)
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Classification:
DDC: 006 -
Source: