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Asadi-zeydabadi et al., 2023 - Google Patents

IDPL-PFOD2: A New Large-Scale Dataset for Printed Farsi Optical Character Recognition

Asadi-zeydabadi et al., 2023

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Document ID
6333450092744477984
Author
Asadi-zeydabadi F
Afkari-Fahandari A
Faraji A
Shabaninia E
Nezamabadi-Pour H
Publication year
Publication venue
arXiv preprint arXiv:2312.01177

External Links

Snippet

Optical Character Recognition is a technique that converts document images into searchable and editable text, making it a valuable tool for processing scanned documents. While the Farsi language stands as a prominent and official language in Asia, efforts to …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06K9/68Methods 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
    • G06K9/6807Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
    • G06K9/6842Dividing 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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