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Anjum et al., 2023 - Google Patents

CALText: Contextual attention localization for offline handwritten text

Anjum et al., 2023

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Document ID
12381960898316864498
Author
Anjum T
Khan N
Publication year
Publication venue
Neural Processing Letters

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Snippet

Recognition of Arabic-like scripts such as Persian and Urdu is more challenging than Latin- based scripts. This is due to the presence of a two-dimensional structure, context-dependent character shapes, spaces and overlaps, and placement of diacritics. We present an attention …
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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
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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
    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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    • G06K9/6842—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German
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