Alsurori et al., 2023 - Google Patents
Review on Arabic Handwritten Recognition Using Deep Learning and Machine LearningAlsurori et al., 2023
- Document ID
- 4393881269814365232
- Author
- Alsurori M
- Mohsen A
- Al-Badani G
- Al-Nahari M
- Faisal T
- Alkasem S
- Publication year
- Publication venue
- 2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA)
External Links
Snippet
Recognizing Arabic handwriting using deep learning and machine learning is a contemporary technique in digital image processing that has potential applications ranging from recognition and indexing of Arabic texts to conversion into electronic texts, and …
Classifications
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
- G06K9/627—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
- G06K9/6807—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06K9/222—Image acquisition using hand-held instruments the instrument generating sequences of position coordinates corresponding to handwriting; preprocessing or recognising digital ink
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