Hybrid Feature Vector for the Recognition of Arabic Handwritten Characters Using Feed-Forward Neural Network

Research article (Arabian Journal for Science and Engineering, 2017) · cited 13× · AI/ML
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Hybrid Feature Vector for the Recognition of Arabic Handwritten Characters Using Feed-Forward Neural Network

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Hybrid Feature Vector for the Recognition of Arabic Handwritten Characters Using Feed-Forward Neural Network is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid Feature Vector for the Recognition of Arabic Handwritten Characters Using Feed-Forward Neural Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-feature-vector-for-the-recognition-of-arabic-handwritten-characters-using-feed-forward-neural-network
MLA “Hybrid Feature Vector for the Recognition of Arabic Handwritten Characters Using Feed-Forward Neural Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-feature-vector-for-the-recognition-of-arabic-handwritten-characters-using-feed-forward-neural-network.
BibTeX @misc{4ortxyz_hybrid-feature-vector-for-the-recognition-of-arabic-handwritten-characters-using-feed-forward-neural-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid Feature Vector for the Recognition of Arabic Handwritten Characters Using Feed-Forward Neural Network}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-feature-vector-for-the-recognition-of-arabic-handwritten-characters-using-feed-forward-neural-network}, note = {Accessed: 2026-05-24}}
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